diff --git a/.env b/.env new file mode 100644 index 0000000000000000000000000000000000000000..300b412e1bd2e47c048005665d95197f6e268ade --- /dev/null +++ b/.env @@ -0,0 +1,94 @@ +# Supported values: +# - VIDEOCHAIN +# - REPLICATE +# - INFERENCE_ENDPOINT +# - INFERENCE_API +# - OPENAI +RENDERING_ENGINE="INFERENCE_API" + +# Supported values: +# - INFERENCE_ENDPOINT +# - INFERENCE_API +# - OPENAI +LLM_ENGINE="INFERENCE_API" + +NEXT_PUBLIC_MAX_NB_PAGES="2" + +# Not implemented for the Inference API yet - you can submit a PR if you have some ideas +NEXT_PUBLIC_CAN_UPSCALE="false" + +# Not implemented for the Inference API yet - you can submit a PR if you have some ideas +NEXT_PUBLIC_CAN_REDRAW="false" + +# Set to "true" to create artificial delays and smooth out traffic +NEXT_PUBLIC_ENABLE_RATE_LIMITER="false" + +# ------------- PROVIDER AUTH ------------ +# You only need to configure the access token(s) for the provider(s) you want to use + +# HuggingFace.co token: available for the LLM engine and the RENDERING engine +AUTH_HF_API_TOKEN= + +# Replicate.com token: available for the RENDERING engine +AUTH_REPLICATE_API_TOKEN= + +# OpenAI.dom token: available for the LLM engine and the RENDERING engine +AUTH_OPENAI_API_KEY= + +# An experimental RENDERING engine (sorry it is not very documented yet, so you can use one of the other engines) +AUTH_VIDEOCHAIN_API_TOKEN= + +# ------------- RENDERING API CONFIG -------------- + +# If you decided to use Replicate for the RENDERING engine +RENDERING_REPLICATE_API_MODEL="stabilityai/sdxl" +RENDERING_REPLICATE_API_MODEL_VERSION="da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf" + +# If you decided to use a private Hugging Face Inference Endpoint for the RENDERING engine +RENDERING_HF_INFERENCE_ENDPOINT_URL="https://XXXXXXXXXX.endpoints.huggingface.cloud" + +# If you decided to use a Hugging Face Inference API model for the RENDERING engine +RENDERING_HF_INFERENCE_API_BASE_MODEL="stabilityai/stable-diffusion-xl-base-1.0" + +# If you decided to use a Hugging Face Inference API model for the RENDERING engine +RENDERING_HF_INFERENCE_API_REFINER_MODEL="stabilityai/stable-diffusion-xl-refiner-1.0" + +# If your model returns a different file type (eg. jpg or webp) change it here +RENDERING_HF_INFERENCE_API_FILE_TYPE="image/png" + +# An experimental RENDERING engine (sorry it is not very documented yet, so you can use one of the other engines) +RENDERING_VIDEOCHAIN_API_URL="http://localhost:7860" + +RENDERING_OPENAI_API_BASE_URL="https://api.openai.com/v1" +RENDERING_OPENAI_API_MODEL="dall-e-3" + +# ------------- LLM API CONFIG ---------------- + +# If you decided to use OpenAI for the LLM engine +LLM_OPENAI_API_BASE_URL="https://api.openai.com/v1" +LLM_OPENAI_API_MODEL="gpt-4" + +# If you decided to use a private Hugging Face Inference Endpoint for the LLM engine +LLM_HF_INFERENCE_ENDPOINT_URL="" + +# If you decided to use a Hugging Face Inference API model for the LLM engine +# LLM_HF_INFERENCE_API_MODEL="meta-llama/Llama-2-70b-chat-hf" +LLM_HF_INFERENCE_API_MODEL="HuggingFaceH4/zephyr-7b-beta" + +# ----------- COMMUNITY SHARING (OPTIONAL) ----------- +# You don't need those community sharing options to run the AI Comic Factory +# locally or on your own server (they are meant to be used by the Hugging Face team) +NEXT_PUBLIC_ENABLE_COMMUNITY_SHARING="false" +COMMUNITY_API_URL= +COMMUNITY_API_TOKEN= +COMMUNITY_API_ID= + +# ----------- CENSORSHIP (OPTIONAL) ----------- +# censorship is currently disabled, but will be required when we create a "community roll" +# (a public repositoruy of user-generated comic strips) +ENABLE_CENSORSHIP="false" + +# Due to the sensitive nature of some of keywords we want to ban (users try all kind of crazy illegal things) +# the words are are not put in clear in the source code, but behind an encryption key +# (I don't want the project to be flagged by an AI robot police on GitHub or something) +SECRET_FINGERPRINT="" diff --git a/.eslintrc.json b/.eslintrc.json new file mode 100644 index 0000000000000000000000000000000000000000..f279830dbbf150cb51887710f0afee5cca561cc2 --- /dev/null +++ b/.eslintrc.json @@ -0,0 +1,4 @@ +{ + "extends": "next/core-web-vitals" +} + \ No newline at end of file diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000000000000000000000000000000000..3b2ce27a40664f9840fee2764e40b6577b518cdf --- /dev/null +++ b/.gitignore @@ -0,0 +1,39 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +node_modules + +# dependencies +/node_modules +/.pnp +.pnp.js + +# testing +/coverage + +# next.js +/.next/ +/out/ + +# production +/build + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts + +pnpm-lock.yaml diff --git a/.nvmrc b/.nvmrc new file mode 100644 index 0000000000000000000000000000000000000000..c946e1df499e9de962885536e3f038cf0351511c --- /dev/null +++ b/.nvmrc @@ -0,0 +1 @@ +v20.9.0 \ No newline at end of file diff --git a/CONTRIBUTORS.md b/CONTRIBUTORS.md new file mode 100644 index 0000000000000000000000000000000000000000..421a1fb031dc63e7e10e590abed81e0ecbf1c21b --- /dev/null +++ b/CONTRIBUTORS.md @@ -0,0 +1,10 @@ +This project was developed by Julian Bilcke (@jbilcke-hf), as part of his work at Hugging Face. + +------------------------------------------ + +A huge thanks to external developers for their contributions! + +艾逗笔 (@idoubi): +- [feature] Added support for OpenAI: https://github.com/jbilcke-hf/ai-comic-factory/pull/6 +- [bug] predict import error (use dynamic imports for the LLM provider): https://github.com/jbilcke-hf/ai-comic-factory/pull/9 + diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..4ef86c13e803b99af8527d40a42131c3b3fbc58c --- /dev/null +++ b/Dockerfile @@ -0,0 +1,65 @@ +FROM node:20-alpine AS base + +# Install dependencies only when needed +FROM base AS deps +# Check https://github.com/nodejs/docker-node/tree/b4117f9333da4138b03a546ec926ef50a31506c3#nodealpine to understand why libc6-compat might be needed. +RUN apk add --no-cache libc6-compat +WORKDIR /app + +# Install dependencies based on the preferred package manager +COPY package.json yarn.lock* package-lock.json* pnpm-lock.yaml* ./ +RUN \ + if [ -f yarn.lock ]; then yarn --frozen-lockfile; \ + elif [ -f package-lock.json ]; then npm ci; \ + elif [ -f pnpm-lock.yaml ]; then yarn global add pnpm && pnpm i --frozen-lockfile; \ + else echo "Lockfile not found." && exit 1; \ + fi + +# Uncomment the following lines if you want to use a secret at buildtime, +# for example to access your private npm packages +# RUN --mount=type=secret,id=HF_EXAMPLE_SECRET,mode=0444,required=true \ +# $(cat /run/secrets/HF_EXAMPLE_SECRET) + +# Rebuild the source code only when needed +FROM base AS builder +WORKDIR /app +COPY --from=deps /app/node_modules ./node_modules +COPY . . + +# Next.js collects completely anonymous telemetry data about general usage. +# Learn more here: https://nextjs.org/telemetry +# Uncomment the following line in case you want to disable telemetry during the build. +# ENV NEXT_TELEMETRY_DISABLED 1 + +# RUN yarn build + +# If you use yarn, comment out this line and use the line above +RUN npm run build + +# Production image, copy all the files and run next +FROM base AS runner +WORKDIR /app + +ENV NODE_ENV production +# Uncomment the following line in case you want to disable telemetry during runtime. +# ENV NEXT_TELEMETRY_DISABLED 1 + +RUN addgroup --system --gid 1001 nodejs +RUN adduser --system --uid 1001 nextjs + +COPY --from=builder /app/public ./public + +# Automatically leverage output traces to reduce image size +# https://nextjs.org/docs/advanced-features/output-file-tracing +COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./ +COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static +COPY --from=builder --chown=nextjs:nodejs /app/.next/cache ./.next/cache +# COPY --from=builder --chown=nextjs:nodejs /app/.next/cache/fetch-cache ./.next/cache/fetch-cache + +USER nextjs + +EXPOSE 3000 + +ENV PORT 3000 + +CMD ["node", "server.js"] diff --git a/LICENCE.md b/LICENCE.md new file mode 100644 index 0000000000000000000000000000000000000000..537fde8423156f05dc00b52a4fc8eebd451f66e9 --- /dev/null +++ b/LICENCE.md @@ -0,0 +1,170 @@ +Apache License +============== + +_Version 2.0, January 2004_ +_<>_ + +### Terms and Conditions for use, reproduction, and distribution + +#### 1. 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Disclaimer of Warranty + +Unless required by applicable law or agreed to in writing, Licensor provides the +Work (and each Contributor provides its Contributions) on an “AS IS” BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, +including, without limitation, any warranties or conditions of TITLE, +NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are +solely responsible for determining the appropriateness of using or +redistributing the Work and assume any risks associated with Your exercise of +permissions under this License. + +#### 8. Limitation of Liability + +In no event and under no legal theory, whether in tort (including negligence), +contract, or otherwise, unless required by applicable law (such as deliberate +and grossly negligent acts) or agreed to in writing, shall any Contributor be +liable to You for damages, including any direct, indirect, special, incidental, +or consequential damages of any character arising as a result of this License or +out of the use or inability to use the Work (including but not limited to +damages for loss of goodwill, work stoppage, computer failure or malfunction, or +any and all other commercial damages or losses), even if such Contributor has +been advised of the possibility of such damages. + +#### 9. Accepting Warranty or Additional Liability + +While redistributing the Work or Derivative Works thereof, You may choose to +offer, and charge a fee for, acceptance of support, warranty, indemnity, or +other liability obligations and/or rights consistent with this License. However, +in accepting such obligations, You may act only on Your own behalf and on Your +sole responsibility, not on behalf of any other Contributor, and only if You +agree to indemnify, defend, and hold each Contributor harmless for any liability +incurred by, or claims asserted against, such Contributor by reason of your +accepting any such warranty or additional liability. + +_END OF TERMS AND CONDITIONS_ \ No newline at end of file diff --git a/README.md b/README.md index df4cadc33cda860c8d6a7b9da698f145d61f5f29..e07020766b537cc099f86def7f0cf378bde7f9e9 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,160 @@ --- -title: Ai Comic Generator -emoji: 💻 -colorFrom: green -colorTo: blue +title: AI Comic Factory +emoji: 👩‍🎨 +colorFrom: red +colorTo: yellow sdk: docker -pinned: false -license: mit +pinned: true +app_port: 3000 +disable_embedding: true --- -Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference +# AI Comic Factory + +*(note: the website "aicomicfactory.com" is not affiliated with the AI Comic Factory project, nor it is created or maintained by the AI Comic Factory team. If you see their website has an issue, please contact them directly)* + +## Running the project at home + +First, I would like to highlight that everything is open-source (see [here](https://huggingface.co/spaces/jbilcke-hf/ai-comic-factory/tree/main), [here](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API/tree/main), [here](https://huggingface.co/spaces/hysts/SD-XL/tree/main), [here](https://github.com/huggingface/text-generation-inference)). + +However the project isn't a monolithic Space that can be duplicated and ran immediately: +it requires various components to run for the frontend, backend, LLM, SDXL etc. + +If you try to duplicate the project, open the `.env` you will see it requires some variables. + +Provider config: +- `LLM_ENGINE`: can be one of: "INFERENCE_API", "INFERENCE_ENDPOINT", "OPENAI" +- `RENDERING_ENGINE`: can be one of: "INFERENCE_API", "INFERENCE_ENDPOINT", "REPLICATE", "VIDEOCHAIN", "OPENAI" for now, unless you code your custom solution + +Auth config: +- `AUTH_HF_API_TOKEN`: only if you decide to use OpenAI for the LLM engine necessary if you decide to use an inference api model or a custom inference endpoint +- `AUTH_OPENAI_TOKEN`: only if you decide to use OpenAI for the LLM engine +- `AITH_VIDEOCHAIN_API_TOKEN`: secret token to access the VideoChain API server +- `AUTH_REPLICATE_API_TOKEN`: in case you want to use Replicate.com + +Rendering config: +- `RENDERING_HF_INFERENCE_ENDPOINT_URL`: necessary if you decide to use a custom inference endpoint +- `RENDERING_REPLICATE_API_MODEL_VERSION`: url to the VideoChain API server +- `RENDERING_HF_INFERENCE_ENDPOINT_URL`: optional, default to nothing +- `RENDERING_HF_INFERENCE_API_BASE_MODEL`: optional, defaults to "stabilityai/stable-diffusion-xl-base-1.0" +- `RENDERING_HF_INFERENCE_API_REFINER_MODEL`: optional, defaults to "stabilityai/stable-diffusion-xl-refiner-1.0" +- `RENDERING_REPLICATE_API_MODEL`: optional, defaults to "stabilityai/sdxl" +- `RENDERING_REPLICATE_API_MODEL_VERSION`: optional, in case you want to change the version + +Language model config: +- `LLM_HF_INFERENCE_ENDPOINT_URL`: "" +- `LLM_HF_INFERENCE_API_MODEL`: "codellama/CodeLlama-7b-hf" + +In addition, there are some community sharing variables that you can just ignore. +Those variables are not required to run the AI Comic Factory on your own website or computer +(they are meant to create a connection with the Hugging Face community, +and thus only make sense for official Hugging Face apps): +- `NEXT_PUBLIC_ENABLE_COMMUNITY_SHARING`: you don't need this +- `COMMUNITY_API_URL`: you don't need this +- `COMMUNITY_API_TOKEN`: you don't need this +- `COMMUNITY_API_ID`: you don't need this + +Please read the `.env` default config file for more informations. +To customise a variable locally, you should create a `.env.local` +(do not commit this file as it will contain your secrets). + +-> If you intend to run it with local, cloud-hosted and/or proprietary models **you are going to need to code 👨‍💻**. + +## The LLM API (Large Language Model) + +Currently the AI Comic Factory uses [Llama-2 70b](https://huggingface.co/blog/llama2) through an [Inference Endpoint](https://huggingface.co/docs/inference-endpoints/index). + +You have three options: + +### Option 1: Use an Inference API model + +This is a new option added recently, where you can use one of the models from the Hugging Face Hub. By default we suggest to use CodeLlama 34b as it will provide better results than the 7b model. + +To activate it, create a `.env.local` configuration file: + +```bash +LLM_ENGINE="INFERENCE_API" + +HF_API_TOKEN="Your Hugging Face token" + +# codellama/CodeLlama-7b-hf" is used by default, but you can change this +# note: You should use a model able to generate JSON responses, +# so it is storngly suggested to use at least the 34b model +HF_INFERENCE_API_MODEL="codellama/CodeLlama-7b-hf" +``` + +### Option 2: Use an Inference Endpoint URL + +If you would like to run the AI Comic Factory on a private LLM running on the Hugging Face Inference Endpoint service, create a `.env.local` configuration file: + +```bash +LLM_ENGINE="INFERENCE_ENDPOINT" + +HF_API_TOKEN="Your Hugging Face token" + +HF_INFERENCE_ENDPOINT_URL="path to your inference endpoint url" +``` + +To run this kind of LLM locally, you can use [TGI](https://github.com/huggingface/text-generation-inference) (Please read [this post](https://github.com/huggingface/text-generation-inference/issues/726) for more information about the licensing). + +### Option 3: Use an OpenAI API Key + +This is a new option added recently, where you can use OpenAI API with an OpenAI API Key. + +To activate it, create a `.env.local` configuration file: + +```bash +LLM_ENGINE="OPENAI" + +# default openai api base url is: https://api.openai.com/v1 +LLM_OPENAI_API_BASE_URL="Your OpenAI API Base URL" + +LLM_OPENAI_API_MODEL="gpt-3.5-turbo" + +AUTH_OPENAI_API_KEY="Your OpenAI API Key" +``` + +### Option 4: Fork and modify the code to use a different LLM system + +Another option could be to disable the LLM completely and replace it with another LLM protocol and/or provider (eg. Claude, Replicate), or a human-generated story instead (by returning mock or static data). + +### Notes + +It is possible that I modify the AI Comic Factory to make it easier in the future (eg. add support for Claude or Replicate) + +## The Rendering API + +This API is used to generate the panel images. This is an API I created for my various projects at Hugging Face. + +I haven't written documentation for it yet, but basically it is "just a wrapper ™" around other existing APIs: + +- The [hysts/SD-XL](https://huggingface.co/spaces/hysts/SD-XL?duplicate=true) Space by [@hysts](https://huggingface.co/hysts) +- And other APIs for making videos, adding audio etc.. but you won't need them for the AI Comic Factory + +### Option 1: Deploy VideoChain yourself + +You will have to [clone](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API?duplicate=true) the [source-code](https://huggingface.co/spaces/jbilcke-hf/VideoChain-API/tree/main) + +Unfortunately, I haven't had the time to write the documentation for VideoChain yet. +(When I do I will update this document to point to the VideoChain's README) + + +### Option 2: Use Replicate + +To use Replicate, create a `.env.local` configuration file: + +```bash +RENDERING_ENGINE="REPLICATE" + +RENDERING_REPLICATE_API_MODEL="stabilityai/sdxl" + +RENDERING_REPLICATE_API_MODEL_VERSION="da77bc59ee60423279fd632efb4795ab731d9e3ca9705ef3341091fb989b7eaf" + +AUTH_REPLICATE_API_TOKEN="Your Replicate token" +``` + +### Option 3: Use another SDXL API + +If you fork the project you will be able to modify the code to use the Stable Diffusion technology of your choice (local, open-source, proprietary, your custom HF Space etc). + +It would even be something else, such as Dall-E. diff --git a/components.json b/components.json new file mode 100644 index 0000000000000000000000000000000000000000..a9cc826aafae1cd3d9cab015d62ced6114c5862e --- /dev/null +++ b/components.json @@ -0,0 +1,16 @@ +{ + "$schema": "https://ui.shadcn.com/schema.json", + "style": "default", + "rsc": true, + "tsx": true, + "tailwind": { + "config": "tailwind.config.js", + "css": "app/globals.css", + "baseColor": "stone", + "cssVariables": false + }, + "aliases": { + "components": "@/components", + "utils": "@/lib/utils" + } +} \ No newline at end of file diff --git a/next.config.js b/next.config.js new file mode 100644 index 0000000000000000000000000000000000000000..4a29795b01a1f36b3e0f1d19f53852cdf63b9134 --- /dev/null +++ b/next.config.js @@ -0,0 +1,11 @@ +/** @type {import('next').NextConfig} */ +const nextConfig = { + output: 'standalone', + + experimental: { + serverActions: true, + serverActionsBodySizeLimit: '8mb', + }, +} + +module.exports = nextConfig diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000000000000000000000000000000000000..405a2b71e0f3f6567aadafbeb3880560af2c0719 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,7481 @@ +{ + "name": "@jbilcke/comic-factory", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "@jbilcke/comic-factory", + "version": "0.0.0", + "dependencies": { + "@huggingface/inference": "^2.6.1", + "@radix-ui/react-accordion": "^1.1.2", + "@radix-ui/react-avatar": "^1.0.3", + "@radix-ui/react-checkbox": "^1.0.4", + 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b/public/favicon/favicon-96.png differ diff --git a/public/favicon/favicon.ico b/public/favicon/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..060fa8ce26f545dd54e28b76401e5bc7a55b7c92 Binary files /dev/null and b/public/favicon/favicon.ico differ diff --git a/public/favicon/index.html b/public/favicon/index.html new file mode 100644 index 0000000000000000000000000000000000000000..1d4b47a9a57bc253915e84d95d4ba889c7c68c9a --- /dev/null +++ b/public/favicon/index.html @@ -0,0 +1,133 @@ + + + + Favicons + + + + + + + + + + + + + + + + + + + + + + + + +
+

+ To use the favicons insert into your head section some of these tags accordly to your needs. +

+
+ 
+            
+                <!-- For old IEs -->
+                <link rel="shortcut icon" href="favicon.ico" />
+                
+                <!-- For new browsers - multisize ico  -->
+                <link rel="icon" type="image/x-icon" sizes="16x16 32x32" href="favicon.ico">
+                
+                <!-- For iPad with high-resolution Retina display running iOS ≥ 7: -->
+                <link rel="apple-touch-icon" sizes="152x152" href="favicon-152-precomposed.png">
+                
+                <!-- For iPad with high-resolution Retina display running iOS ≤ 6: -->
+                <link rel="apple-touch-icon" sizes="144x144" href="favicon-144-precomposed.png">
+                
+                <!-- For iPhone with high-resolution Retina display running iOS ≥ 7: -->
+                <link rel="apple-touch-icon" sizes="120x120" href="favicon-120-precomposed.png">
+                
+                <!-- For iPhone with high-resolution Retina display running iOS ≤ 6: -->
+                <link rel="apple-touch-icon" sizes="114x114" href="favicon-114-precomposed.png">
+                
+                <!-- For iPhone 6+ -->
+                <link rel="apple-touch-icon" sizes="180x180" href="favicon-180-precomposed.png">
+                
+                <!-- For first- and second-generation iPad: -->
+                <link rel="apple-touch-icon" sizes="72x72" href="favicon-72-precomposed.png">
+                
+                <!-- For non-Retina iPhone, iPod Touch, and Android 2.1+ devices: -->
+                <link rel="apple-touch-icon" sizes="57x57" href="favicon-57.png">
+                
+                <!-- For Old Chrome -->
+                <link rel="icon" sizes="32x32" href="favicon-32.png" >
+                
+                <!-- For IE10 Metro -->
+                <meta name="msapplication-TileColor" content="#FFFFFF">
+                <meta name="msapplication-TileImage" content="favicon-144.png">
+                <meta name="theme-color" content="#ffffff">
+                
+                <!-- Chrome for Android -->
+                <link rel="manifest" href="manifest.json">
+                <link rel="icon" sizes="192x192" href="favicon-192.png">
+                
+            
+
+ +
+ +

+ For more informations about favicons consult The Favicon Cheat Sheet by Audrey Roy. +

+ +
+ + diff --git a/public/favicon/manifest.json b/public/favicon/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..d0d92afbc1530e91966f13b737cea8885bf5a111 --- /dev/null +++ b/public/favicon/manifest.json @@ -0,0 +1,41 @@ +{ + "name": "pollo", + "icons": [ + { + "src": "\/favicon-36.png", + "sizes": "36x36", + "type": "image\/png", + "density": 0.75 + }, + { + "src": "\/favicon-48.png", + "sizes": "48x48", + "type": "image\/png", + "density": 1 + }, + { + "src": "\/favicon-72.png", + "sizes": "72x72", + "type": "image\/png", + "density": 1.5 + }, + { + "src": "\/favicon-96.png", + "sizes": "96x96", + "type": "image\/png", + "density": 2 + }, + { + "src": "\/favicon-144.png", + "sizes": "144x144", + "type": "image\/png", + "density": 3 + }, + { + "src": "\/favicon-192.png", + "sizes": "192x192", + "type": "image\/png", + "density": 4 + } + ] +} diff --git a/public/icon.png b/public/icon.png new file mode 100644 index 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0000000000000000000000000000000000000000..5174b28c565c285e3e312ec5178be64fbeca8398 --- /dev/null +++ b/public/next.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/public/quick-and-dirty-emoji.png b/public/quick-and-dirty-emoji.png new file mode 100644 index 0000000000000000000000000000000000000000..0953efd539fd83956e3f50e9e898df639105f007 Binary files /dev/null and b/public/quick-and-dirty-emoji.png differ diff --git a/public/sign-in-with-huggingface-xl.svg b/public/sign-in-with-huggingface-xl.svg new file mode 100644 index 0000000000000000000000000000000000000000..d7cb04f34b6e28c56910c6328e7de778cf694ec0 --- /dev/null +++ b/public/sign-in-with-huggingface-xl.svg @@ -0,0 +1,43 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/public/vercel.svg b/public/vercel.svg new file mode 100644 index 0000000000000000000000000000000000000000..d2f84222734f27b623d1c80dda3561b04d1284af --- /dev/null +++ b/public/vercel.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/src/app/engine/caption.ts b/src/app/engine/caption.ts new file mode 100644 index 0000000000000000000000000000000000000000..11e8f78f1de68e7816d1e4e0fec1752c2304cbce --- /dev/null +++ b/src/app/engine/caption.ts @@ -0,0 +1,54 @@ +"use server" + +import { ImageAnalysisRequest, ImageAnalysisResponse } from "@/types" + +const apiUrl = `${process.env.RENDERING_VIDEOCHAIN_API_URL || ""}` + +export async function see({ + prompt, + imageBase64 +}: { + prompt: string + imageBase64: string +}): Promise { + if (!prompt) { + console.error(`cannot call the API without an image, aborting..`) + throw new Error(`cannot call the API without an image, aborting..`) + } + + try { + const request = { + prompt, + image: imageBase64 + + } as ImageAnalysisRequest + + console.log(`calling ${apiUrl}/analyze called with: `, { + prompt: request.prompt, + image: request.image.slice(0, 20) + }) + + const res = await fetch(`${apiUrl}/analyze`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + // Authorization: `Bearer ${videochainApi}`, + }, + body: JSON.stringify(request), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as ImageAnalysisResponse + return response.result + } catch (err) { + console.error(err) + return "" + } +} diff --git a/src/app/engine/censorship.ts b/src/app/engine/censorship.ts new file mode 100644 index 0000000000000000000000000000000000000000..ae4cc0b98b1cc09b9dda0aed35767bb7faee3b6e --- /dev/null +++ b/src/app/engine/censorship.ts @@ -0,0 +1,184 @@ + +// I don't want to be banned by Replicate because bad actors are asking +// for some naked anime stuff or whatever +// I also want to avoid a PR scandal due to some bad user generated content + +import { computeSecretFingerprint } from "@/lib/computeSecretFingerprint" + +// those keywords have been generated by looking at the logs of the panorama and the AI Comic Factory +// those are real requests some users tried to attempt.. :| + +const chickens = [ + "fcb4dacbd99b21368c50f29c1d47071c87cf2225ab9192282c785460391cd365", + "68840b60ac27eacaa7afe17e898d3c4a2dc71acff8c74d6782c1bcaafd14963d", + "67f745224fd6e1a7a3a244514d5807fcc994cbb62ca4ec8fa44cd14244a515ae", + "681fea565117808c6dbe002520d2cfeeb3e5c67e68630afb4a453449a9da587b", + "2f3d913b3db9e15a930aac43eb2d6fe8817db8e4bcf37794bf0227b06b718d1b", + "922a700b807e4994df82eba2b48a6ac131fe8d8d1035d06b3592d622fb232161", + "cb69ee6774eafcc720adb1f689d28acbb9f47998cbea0299ec66a58dedf91c37" +] + +const ducks = [ + "1c52cb20c0cbc76349fa63232b982bd394cf0850ebc17240dcf33c19fb15a26d", + "e1d4de9b8d464d7da07c276b63a42c1c9922224f0a6cab6b0826427ce4a7461a", + "0be3174bfb1a48a65875c2f035b1ae14fbc8f232f55785018de0cfe2132fa952", + "0f174769641b2e5d2c79b5a83e8ef91e004f6f3e62531cd70cfdff02159268cb", + "e9fb8ae8ff720acd91025229478a21e43e8e976e30119a76c293201adf572736", + "f65a0dc0e07b5d084ff24c69dcdb953f7b57101d2ebb716d4dfb5963076ef807", + "2bf38af1646489c2c086f811d082054cd29e23fa7bb5c525396bec01b3ab688e" +] + +const cats = [ + "fcffc3e997d952007d1b902a9cf40b750ba4a410ac65bfd95475996bf51359e4", + "3172a5fa159754d703489dfba5af520b8ace107cdf170f4c4cb38a6797aa163f", + "500012dbff4498a9c4513369d6b9b373fab9330ffd2cb1e622294043cc21b610", + "84e3a8d34ee7d0c8e7a2926dd1acad46a0b66b9d27725b3a7e5053550f490301" +] + +const roasted = [ + "a2bfbce0046c9a52a0eabf98f73e0f8e09959970431fc892ebdb4e1c97031b50", + "6eca1adf06851f99e9cdfbb496c27d46ff81106903d11f3346a146e96082b016", + "49a124c9ed6fbbad4105b3657dc25de369bcafb9d6787f610c08f584cd607d0f", + "c3afb59420c812cbc7c8f57ad3e8d79407f10106a99f829aa65316c99d0b29c4", + "2b808858836a5c205080f5b93201ef92e098cff931d8de6d9f20dc722997d077", + "07bef89d1a7d63c9c5ed64ba0f73d6cff689811847c2e20c8b3fbfb060e1d64e", + "baeb994922d5473f534aa54322d83effe74c6c4dac807e6b523a677d7acdc17b", + "ea4735a879edd5cc94ca7db26edd5a970df69a41f0009d3444486647e44175af", + "f2412249030454cd13ac6f7965871d924c16daacda0123de81892adb19ce49ac", + "9958c56e12bab8549cf752bcd8bec4ac36cf79c404b1faf5611f057bb71bc0e1", + "76cdade0b3d4caf0888f60318a5cbca00f830a3b0bf37735fc64fdaeb67c34d3", + "1bf53c97869e1ea89bda19da64a9173d48fe4ec823e949e2c898f8abb3fbf457", + "1bf53c97869e1ea89bda19da64a9173d48fe4ec823e949e2c898f8abb3fbf457", + "3d7f973fab8f4a19c0a3e59efe970ed7bd55a1cb795752d9cbe3c19e8a7d81ec" +] + +const banned = [ + "8a05d4869d9d6ce388c6cd2db13ca12b88097b90f9be027d5ffaaa467c7a6e5e", + "0c475212a608138244c5fc150b1563e5ef79c516234fd78dcd5993f726c359a0", + "df17388805f99f2ff3e5ae97a0f55e5c927eb47f17ca65822bf8c88f02bac3dd", + "86c3355d1bd581cdf7306729d8dd0ee9b7a317b9cfd6d7a6f5fad9c0dafe2167", + "23a2484cd420c9ffbfcc2c0075a9b330664450ced1fc64ab6a65e278086b8c6e", + "fb4cabe709b62eea1b4cc0030c76f5e4a43ee677ce19124e8e7bafa86c78ab66", + "d99c26daee85f7dc81c46c061a5874cff7179ed72d884d2316d664d36ffe7ab5", + "b93c38af5aa221d76c60ee3eb762efee0cdb0daf29ceb235b7dda6d46c06490d", + "8cf6c8765dc757319461dd9a785e77c201b8e5a604d36b817cd987c6a5e62500", + "f4a1cb290745717f86c3cee30fc324c0d80a9945fcbc7bbeb010579f58792f1e", + "7c87c47c42fc983119551342be9ddd5b32e530c0504ccdbbaa1e12b1d9f1bbcb", + "d04fad4f21d030da7a1301afbf480ef6246eb7bbf0f26e31865b2e015a25f747", + "d685ff22fb9da01ee949db212770729603989850864ef7a7085e1f086cfa7deb", + "533b90588d9ccf7967da54691f575e9fd4926c6e0b5fd94a47b932bcea270bee", + "9c2d61f28f5bb7f3f1dc9122be64cda8a428b46ce68b70120da4c41dba96ba4c", + "5d4b1a3eebe64dfa631d0e3b084bd96ee9364c3669269f838ca17a4900276264", + "d56f56413b9679fc0820a2c0237224ded8554c61fab8959c174123c8b68ba029", + "323a9ab60739726070d615ff3a05d7ff6bb6e3c4dd9ff16ce24f253ecd7b8851", + "975c6739de7d4999db15972f707f5f4e95649275f1c0c48e895b8c537e8638ec", + "67ee26eb9e1c1c7124797321b02bca90a19c18171782917cd4a487b722484dce", + "6df5aa7b72a4e6e3fb726489ff1437daa5752047507f4da912680b1d6647c7d6", + "b0864805364359e8c5810c233b1bf2c74dedce9055ae5f7680ba05b4e39db8e2", + "a8f841472ecffdd6266151148320c8e36847a24ead9d3338e0313b075c16649d", + "f9b127cd90e85b0ff68dd220361671663f0154b2b827f1f7ea797b020ca0018c", + "d5c20e9a1ecf01c82da24c514d867498b3e5f522adc1523ce29404a6563641d5", + "241022b49d7c0aba24a61eea1137a804f36e4bcb47af42950275baac9b4e7aac", + "fc99a70e17b6c86ef1b537654b0f50353567a7b59912c3ba955f3fca4d1ea696", + "255306e968009003d295cb2a7256f27bfcdb5d1743bf4d9f2aa4b8adf1a7734d", + "048c7b709763dd9c43794d241c369f0abcb079d546ddcbbba9968a1ed1da7ed7", + "520cbfeef3e4c405d79478eedccb97a4d476be585626dd2b1c53292797491bc7", + "f9f28a7ae7e8b1719b350a04dc087a4b8e33478d109ceeef6ba892b32d1105c9", + "d177f1bfe603647ef4c1c0e6f1a7172081fb9bbc2ea859705949f2c5aa5d4f22", + "302feef2c09247fbd23789581f7f5e2219f88ae0a937880954938573c2a52a84", + "99edd6f57b864873835f16f19c805dd94bed9da8967b84e3a62782f106d9ebcc", + "e75e5f01dcd8351c9553e89558085bd68e6feb295dee5d8da0c9b43ee303ce36", + "135e52a026aea9d2e12de358a85e05cf21121a18269269b7c62678c3bc846f5b", + "28e5b2d3eb5f1ef4cc7b570878b03acf303a6ca4ca95893591e0fb943b0beab0", + "a26b26340f8d0363633490556d20bcc250726d10e1431eb8c22d6b1ff3f2b14a", + "27e4ddde96ec6a1dbe1cf12d79448b3e72f144944c15b299629542d1b65fbabf", + "efd9c0a391ee93251046a58326d1b21b33fe21d71a3fb1855b9048ade53df77c", + "6d505fcce416c26a606878aab4d249a034ba2a9846cb1f883e0f9e3fb76ba6da", + "3a37b8a1b72f9bca51233536d50f9c8d33a787434684787871e0049c82347cda", + "16f9b451184a7c3148344c7d0315f5312ca20553d2271912ecaad91810d977e6", + "7406537eb74d1885bd05e191228de313b13702a64d90ae1736c6377b25ab579a", + "7e4d1395ae18980015cab16c85ffa20b4cb90a2db594126e893d0f7ac6eecaa8", + "ba813ee6c25698f0f68a07121d38bb47c9aa404c1ab0a6e767595cb75e1747b8", + "6586c93f3ece83e01ecc1eb84a7711e7975826a388d478a009468ea0ed9dc03e", + "8960174c74d86e03ae88fb6774580170e49952f2286d960be08c556bbd0dda95", + "4d611454369aa1a4e2b7eed1734fac5d480f08fb86b87a162967e416370f2a8e", + "59d48440f85eabf565fe8d3bc6b973ba64c70df3b36b0511e0e67ceca91762b3", + "cd926926e2af74e43d1a6a420a7e1933b78662320477a3c018b2711d8765e339", + "80e90057df6a59823f51aafac36ed5bc4e5ac26d675d9c1467501590c82f12d4", + "a9cf28b869b70e258adde5639a048f866ec86f8f3f3d53bfc960b86aa6da9239", + "cc2adbf8ac0cddeefa304d7b20f14a7e047a4b2299cc5e8f898f5c59660bd964", + "92a150a46146e9d3f84899cf15e12514af684e7ee18d7add782ddd4f4a15ef18", + "d9b2e84ef6dc0ce449357d52c9095f69b173a1b848ea2921199d33b0ec10024a", + "a9329a7e4d367a0135c1ca86c6ce5ecabcc26529235229d71b6bf991f7689e21", + "8f160c6fd8ccc3fb2a371a4b52748f0bd030766627c4322e2911fe82f6b10497", + "620e96eae4f3e88cbe0770292b33724c5df3866d83f39df6380441f7271c80e2", + "cafa3481fa3c45ed1e55cd0129c12b477eeab5aa3d6da20cae6d6292f19b0e6d", + "be07994e9a83aa3689e79b6e96123676ccc4fa29f523c28c750c6d60505531ee", + "f6498069768cd3aa79b2b0c91879694f05a259c8ee4a6bb343f0435f74eb1b53", + "c9b6b26cb3a694eb78fcac0a14ad18d46d50907186a9add41022d31d191b2b65" +] + +const young = [ + "ffdf66787b4a33b78b18c18822e334cfe2c8406caf442851deef451bd43140a1", + "858f22219afc4b32a7ba9a27a213d7f495e77c3cceed8147eae5282bf3e23d39", + "8c3c46df84ace3d58d4ce0fbc513017986b33c6002ae369d9f7dd1f892a898cb", + "66caa22b9483fdf026ce67de61067d81535a7c9b3169cbc5c2a455ac8dcc7bec", + "76893047b1eff9fadc7be07b13adb5aaed9c73bcdeea46ee07098605e2c7ff76", + "526cb848754e2baaa17376a5693d90ba3f69f71fd2a866f22876ac8a075849a7", + "f59c38e31d0f64dc1bfcdf34451723bc1a65570e209e5496c8d1d7f6d3d649db", + "e013a67e275c62c1402ccbbb11ad14afb8b8a82318a44c07d67599ed5ac874de", + "3bef34219fb07f867ecbff4d6748f598d6cc0761e17dd0d431ee1f4ec3281374", + "8211bf5f613fac06cd5d074d34c16dfacc9367c8afaa6ad3aff99d145e5221be" +] + +const getFingerprint = (word: string) => { + return computeSecretFingerprint( + word.toLocaleLowerCase().replaceAll(/[^a-zA-Z0-9]/gi, "") + ) +} + +const encode = (list: string[]) => { + console.log(JSON.stringify( + list.sort((a, b) => (b.length - a.length)) + .map(item => getFingerprint(item)), null, 2)) +} + +// encode([ "badword" ]) + +export const filterOutBadWords = (sentence: string) => { + if (process.env.ENABLE_CENSORSHIP !== "true") { return sentence } + + let requireCensorship = false + + const words = sentence.replaceAll(/[^a-zA-Z0-9]/gi, " ").replaceAll(/\s+/gi, " ").trim().split(" ") + + const sanitized = words.map(word => { + const fingerprint = getFingerprint(word) + + let result: string = word + // some users want to play it smart and bypass our system so let's play too + if (chickens.includes(fingerprint)) { + result = "large chicken" + } else if (ducks.includes(fingerprint)) { + result = "big duck" + } else if (cats.includes(fingerprint)) { + result = "cat" + } else if (roasted.includes(fingerprint)) { + result = "roasted chicken" + } else if (young.includes(fingerprint)) { + result = "adult" + } else if (banned.includes(fingerprint)) { + result = "_BANNED_" + } + + if (result !== word) { + requireCensorship = true + } + return result + }).filter(item => item !== "_BANNED_").join(" ") + + // if the user didn't try to use a bad word, we leave it untouched + // he words array has been degraded by the replace operation, but it removes commas etc which isn't great + // so if the request was genuine and SFW, it's best to return the original prompt + return requireCensorship ? sanitized : sentence +} \ No newline at end of file diff --git a/src/app/engine/community.ts b/src/app/engine/community.ts new file mode 100644 index 0000000000000000000000000000000000000000..33bc412fac7767d707861e125d1c1434e7cd286c --- /dev/null +++ b/src/app/engine/community.ts @@ -0,0 +1,135 @@ +"use server" + +import { v4 as uuidv4 } from "uuid" + +import { CreatePostResponse, GetAppPostsResponse, Post, PostVisibility } from "@/types" +import { filterOutBadWords } from "./censorship" + +const apiUrl = `${process.env.COMMUNITY_API_URL || ""}` +const apiToken = `${process.env.COMMUNITY_API_TOKEN || ""}` +const appId = `${process.env.COMMUNITY_API_ID || ""}` + +export async function postToCommunity({ + prompt, + assetUrl, +}: { + prompt: string + assetUrl: string +}): Promise { + + prompt = filterOutBadWords(prompt) + + // if the community API is disabled, + // we don't fail, we just mock + if (!apiUrl) { + const mockPost: Post = { + postId: uuidv4(), + appId: "mock", + prompt, + previewUrl: assetUrl, + assetUrl, + createdAt: new Date().toISOString(), + visibility: "normal", + upvotes: 0, + downvotes: 0 + } + return mockPost + } + + if (!prompt) { + console.error(`cannot call the community API without a prompt, aborting..`) + throw new Error(`cannot call the community API without a prompt, aborting..`) + } + if (!assetUrl) { + console.error(`cannot call the community API without an assetUrl, aborting..`) + throw new Error(`cannot call the community API without an assetUrl, aborting..`) + } + + try { + console.log(`calling POST ${apiUrl}/posts/${appId} with prompt: ${prompt}`) + + const postId = uuidv4() + + const post: Partial = { postId, appId, prompt, assetUrl } + + console.table(post) + + const res = await fetch(`${apiUrl}/posts/${appId}`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${apiToken}`, + }, + body: JSON.stringify(post), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + // console.log("res:", res) + // The return value is *not* serialized + // You can return Date, Map, Set, etc. + + // Recommendation: handle errors + if (res.status !== 200) { + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as CreatePostResponse + // console.log("response:", response) + return response.post + } catch (err) { + const error = `failed to post to community: ${err}` + console.error(error) + throw new Error(error) + } +} + +export async function getLatestPosts(visibility?: PostVisibility): Promise { + + let posts: Post[] = [] + + // if the community API is disabled we don't fail, + // we just mock + if (!apiUrl) { + return posts + } + + try { + // console.log(`calling GET ${apiUrl}/posts with renderId: ${renderId}`) + const res = await fetch(`${apiUrl}/posts/${appId}/${ + visibility || "all" + }`, { + method: "GET", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${apiToken}`, + }, + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + // console.log("res:", res) + // The return value is *not* serialized + // You can return Date, Map, Set, etc. + + // Recommendation: handle errors + if (res.status !== 200) { + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as GetAppPostsResponse + // console.log("response:", response) + return Array.isArray(response?.posts) ? response?.posts : [] + } catch (err) { + // const error = `failed to get posts: ${err}` + // console.error(error) + // throw new Error(error) + return [] + } +} \ No newline at end of file diff --git a/src/app/engine/forbidden.ts b/src/app/engine/forbidden.ts new file mode 100644 index 0000000000000000000000000000000000000000..512b65e22b18f3bd39f6aec58198576b2ffc67f5 --- /dev/null +++ b/src/app/engine/forbidden.ts @@ -0,0 +1,6 @@ + +// the NSFW has to contain bad words, but doing so might get the code flagged +// or attract unwanted attention, so we hash them +export const forbidden = [ + // TODO implement this +] \ No newline at end of file diff --git a/src/app/engine/presets.ts b/src/app/engine/presets.ts new file mode 100644 index 0000000000000000000000000000000000000000..8170f9d449f883b383e048de15bcb80d6a1d74c2 --- /dev/null +++ b/src/app/engine/presets.ts @@ -0,0 +1,679 @@ +import { FontName, actionman, komika, vtc } from "@/lib/fonts" +import { pick } from "@/lib/pick" +import { NextFontWithVariable } from "next/dist/compiled/@next/font" + +export type ComicFamily = + | "american" + | "asian" + | "european" + +export type ComicColor = + | "color" + | "grayscale" + | "monochrome" + +export interface Preset { + id: string + label: string + family: ComicFamily + color: ComicColor + font: FontName + llmPrompt: string + imagePrompt: (prompt: string) => string[] + negativePrompt: (prompt: string) => string[] +} + +// ATTENTION!! negative prompts are not supported by the VideoChain API yet + +export const presets: Record = { + random: { + id: "random", + label: "Random style", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "", + imagePrompt: (prompt: string) => [], + negativePrompt: () => [], + }, + neutral: { + id: "neutral", + label: "Neutral (no style)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "", + imagePrompt: (prompt: string) => [ + prompt, + ], + negativePrompt: () => [ ], + }, + /* + video_3d_style: { + id: "video_3d_style", + label: "[video] 3D style", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + prompt, + ], + negativePrompt: () => [ ], + }, + */ + japanese_manga: { + id: "japanese_manga", + label: "Japanese", + family: "asian", + color: "grayscale", + font: "actionman", + llmPrompt: "japanese manga", + imagePrompt: (prompt: string) => [ + `grayscale`, + `detailed drawing`, + `japanese manga`, + prompt, + // "single panel", + // "manga", + // "japanese", + // "intricate", + // "detailed", + // "drawing" + ], + negativePrompt: () => [ + "franco-belgian comic", + "color album", + "color", + "american comic", + "photo", + "painting", + "3D render" + ], + }, + nihonga: { + id: "nihonga", + label: "Nihonga", + family: "asian", + color: "color", + font: "actionman", + llmPrompt: "japanese manga", + imagePrompt: (prompt: string) => [ + `japanese nihonga painting about ${prompt}`, + "Nihonga", + "ancient japanese painting", + "intricate", + "detailed", + "detailed painting" + // "drawing" + ], + negativePrompt: () => [ + "franco-belgian comic", + "color album", + "color", + "manga", + "comic", + "american comic", + "photo", + "painting", + "3D render" + ], + }, + franco_belgian: { + id: "franco_belgian", + label: "Franco-Belgian", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "Franco-Belgian comic (a \"bande dessinée\"), in the style of Franquin, Moebius etc", + imagePrompt: (prompt: string) => [ + "bande dessinée", + "franco-belgian comic", + prompt, + "comic album", + "detailed drawing" + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + american_comic_90: { + id: "american_comic_90", + label: "American (modern)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + "digital color comicbook style", + `modern american comic`, + prompt, + "detailed drawing" + //"single panel", + // "2010s", + // "digital print", + // "color comicbook", + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + + /* + american_comic_40: { + label: "American (1940)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + `american comic`, + prompt, + "single panel", + "american comic", + "comicbook style", + "1940", + "40s", + "color comicbook", + "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + */ + american_comic_50: { + id: "american_comic_50", + label: "American (1950)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + "1950", + "50s", + `vintage american color comic`, + prompt, + "detailed drawing" + // "single panel", + // "comicbook style", + // "color comicbook", + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + /* + american_comic_60: { + label: "American (1960)", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "american comic", + imagePrompt: (prompt: string) => [ + `american comic`, + prompt, + "single panel", + "american comic", + "comicbook style", + "1960", + "60s", + "color comicbook", + "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "action", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + */ + + + flying_saucer: { + id: "flying_saucer", + label: "Flying saucer", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new pulp science fiction", + imagePrompt: (prompt: string) => [ + `vintage science fiction`, + // "40s", + "color pulp comic panel", + "1940", + `${prompt}`, + "detailed drawing" + // "single panel", + // "comic album" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + + humanoid: { + id: "humanoid", + label: "Humanoid", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "comic books by Moebius", + imagePrompt: (prompt: string) => [ + `color comic panel`, + "style of Moebius", + `${prompt}`, + "detailed drawing", + "french comic panel", + "franco-belgian style", + "bande dessinée", + "single panel", + // "comic album" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + haddock: { + id: "haddock", + label: "Haddock", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "writing Tintin comic books", + imagePrompt: (prompt: string) => [ + `color comic panel`, + "style of Hergé", + "tintin style", + `${prompt}`, + "by Hergé", + "french comic panel", + "franco-belgian style", + // "color panel", + // "bande dessinée", + // "single panel", + // "comic album" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + /* + lurid: { + id: "lurid", + label: "Lurid", + family: "american", + color: "color", + font: "actionman", + llmPrompt: "1970s satirical and alternative underground comics", + imagePrompt: (prompt: string) => [ + `satirical color comic`, + `underground comix`, + `1970`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + armorican: { + id: "armorican", + label: "Armorican", + family: "european", + color: "monochrome", + font: "actionman", + llmPrompt: "french style comic books set in ancient Rome and Gaul", + imagePrompt: (prompt: string) => [ + `color comic panel`, + "romans", + "gauls", + "french comic panel", + "franco-belgian style", + `about ${prompt}`, + "bande dessinée", + "single panel", + // "comical", + // "comic album", + // "color drawing" + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "photo", + "painting", + "3D render" + ], + }, + render: { + id: "render", + label: "3D Render", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `3D render animation`, + `Pixar`, + `cute`, + `funny`, + `Unreal engine`, + `${prompt}`, + `crisp`, + `sharp` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + klimt: { + id: "klimt", + label: "Klimt", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "Gustav Klimt art pieces.", + imagePrompt: (prompt: string) => [ + `golden`, + `patchwork`, + `style of Gustav Klimt`, + `Gustav Klimt painting`, + `${prompt}`, + `detailed painting`, + `intricate details` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + medieval: { + id: "medieval", + label: "Medieval", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "medieval story (write in this style)", + imagePrompt: (prompt: string) => [ + `medieval illuminated manuscript`, + `illuminated manuscript of`, + `medieval`, + // `medieval color engraving`, + `${prompt}`, + `intricate details`, + // `medieval` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + /* + glass: { + id: "glass", + label: "Glass", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `stained glass`, + `vitrail`, + `stained glass`, + // `medieval color engraving`, + `${prompt}`, + `medieval`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + /* + voynich: { + id: "voynich", + label: "Voynich", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `voynich`, + `voynich page`, + // `medieval color engraving`, + `${prompt}`, + `medieval`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + egyptian: { + id: "egyptian", + label: "Egyptian", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "ancient egyptian stories.", + imagePrompt: (prompt: string) => [ + `ancient egyptian wall painting`, + `ancient egypt`, + // `medieval color engraving`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + /* + psx: { + label: "PSX", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `videogame screenshot`, + `3dfx`, + `3D dos game`, + `software rendering`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + /* + pixel: { + label: "Pixel", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `pixelart`, + `isometric`, + `pixelated`, + `low res`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + */ + photonovel: { + id: "photonovel", + label: "Vintage photonovel", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `vintage photo`, + `1950`, + `1960`, + `french new wave`, + `faded colors`, + `color movie screencap`, + `${prompt}`, + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, + stockphoto: { + id: "stockphoto", + label: "Stock photo", + family: "european", + color: "color", + font: "actionman", + llmPrompt: "new movie", + imagePrompt: (prompt: string) => [ + `cinematic`, + `hyperrealistic`, + `footage`, + `sharp 8k`, + `analog`, + `instagram`, + `photoshoot`, + `${prompt}`, + `crisp details` + ], + negativePrompt: () => [ + "manga", + "anime", + "american comic", + "grayscale", + "monochrome", + "painting" + ], + }, +} + +export type PresetName = keyof typeof presets + +export const defaultPreset: PresetName = "american_comic_90" + +export const nonRandomPresets = Object.keys(presets).filter(p => p !== "random") + +export const getPreset = (preset?: PresetName): Preset => presets[preset || defaultPreset] || presets[defaultPreset] + +export const getRandomPreset = (): Preset => { + const presetName = pick(Object.keys(presets).filter(preset => preset !== "random")) as PresetName + return getPreset(presetName) +} \ No newline at end of file diff --git a/src/app/engine/render.ts b/src/app/engine/render.ts new file mode 100644 index 0000000000000000000000000000000000000000..fd5efab6a54ff7970c79873a9512d98fcaa4e246 --- /dev/null +++ b/src/app/engine/render.ts @@ -0,0 +1,588 @@ +"use server" + +import { v4 as uuidv4 } from "uuid" +import Replicate from "replicate" + +import { RenderRequest, RenderedScene, RenderingEngine, Settings } from "@/types" +import { generateSeed } from "@/lib/generateSeed" +import { sleep } from "@/lib/sleep" + +const serverRenderingEngine = `${process.env.RENDERING_ENGINE || ""}` as RenderingEngine + +// TODO: we should split Hugging Face and Replicate backends into separate files +const serverHuggingfaceApiKey = `${process.env.AUTH_HF_API_TOKEN || ""}` +const serverHuggingfaceApiUrl = `${process.env.RENDERING_HF_INFERENCE_ENDPOINT_URL || ""}` +const serverHuggingfaceInferenceApiModel = `${process.env.RENDERING_HF_INFERENCE_API_BASE_MODEL || ""}` +const serverHuggingfaceInferenceApiModelRefinerModel = `${process.env.RENDERING_HF_INFERENCE_API_REFINER_MODEL || ""}` +const serverHuggingfaceInferenceApiModelTrigger = `${process.env.RENDERING_HF_INFERENCE_API_MODEL_TRIGGER || ""}` +const serverHuggingfaceInferenceApiFileType = `${process.env.RENDERING_HF_INFERENCE_API_FILE_TYPE || ""}` + +const serverReplicateApiKey = `${process.env.AUTH_REPLICATE_API_TOKEN || ""}` +const serverReplicateApiModel = `${process.env.RENDERING_REPLICATE_API_MODEL || ""}` +const serverReplicateApiModelVersion = `${process.env.RENDERING_REPLICATE_API_MODEL_VERSION || ""}` +const serverReplicateApiModelTrigger = `${process.env.RENDERING_REPLICATE_API_MODEL_TRIGGER || ""}` + +const videochainToken = `${process.env.AUTH_VIDEOCHAIN_API_TOKEN || ""}` +const videochainApiUrl = `${process.env.RENDERING_VIDEOCHAIN_API_URL || ""}` + +const serverOpenaiApiKey = `${process.env.AUTH_OPENAI_API_KEY || ""}` +const serverOpenaiApiBaseUrl = `${process.env.RENDERING_OPENAI_API_BASE_URL || "https://api.openai.com/v1"}` +const serverOpenaiApiModel = `${process.env.RENDERING_OPENAI_API_MODEL || "dall-e-3"}` + +export async function newRender({ + prompt, + // negativePrompt, + nbFrames, + width, + height, + withCache, + settings, +}: { + prompt: string + // negativePrompt: string[] + width: number + height: number + nbFrames: number + withCache: boolean + settings: Settings +}) { + // throw new Error("Planned maintenance") + if (!prompt) { + const error = `cannot call the rendering API without a prompt, aborting..` + console.error(error) + throw new Error(error) + } + + let defaulResult: RenderedScene = { + renderId: "", + status: "error", + assetUrl: "", + alt: prompt || "", + maskUrl: "", + error: "failed to fetch the data", + segments: [] + } + + const nbInferenceSteps = 30 + const guidanceScale = 9 + + let renderingEngine = serverRenderingEngine + let openaiApiKey = serverOpenaiApiKey + let openaiApiModel = serverOpenaiApiModel + + let replicateApiKey = serverReplicateApiKey + let replicateApiModel = serverReplicateApiModel + let replicateApiModelVersion = serverReplicateApiModelVersion + let replicateApiModelTrigger = serverReplicateApiModelTrigger + + let huggingfaceApiKey = serverHuggingfaceApiKey + let huggingfaceInferenceApiModel = serverHuggingfaceInferenceApiModel + let huggingfaceApiUrl = serverHuggingfaceApiUrl + let huggingfaceInferenceApiModelRefinerModel = serverHuggingfaceInferenceApiModelRefinerModel + let huggingfaceInferenceApiModelTrigger = serverHuggingfaceInferenceApiModelTrigger + let huggingfaceInferenceApiFileType = serverHuggingfaceInferenceApiFileType + + const placeholder = "" + + // console.log("settings:", JSON.stringify(settings, null, 2)) + + if ( + settings.renderingModelVendor === "OPENAI" && + settings.openaiApiKey && + settings.openaiApiKey !== placeholder && + settings.openaiApiModel + ) { + console.log("using OpenAI using user credentials (hidden)") + renderingEngine = "OPENAI" + openaiApiKey = settings.openaiApiKey + openaiApiModel = settings.openaiApiModel + } if ( + settings.renderingModelVendor === "REPLICATE" && + settings.replicateApiKey && + settings.replicateApiKey !== placeholder && + settings.replicateApiModel && + settings.replicateApiModelVersion + ) { + console.log("using Replicate using user credentials (hidden)") + renderingEngine = "REPLICATE" + replicateApiKey = settings.replicateApiKey + replicateApiModel = settings.replicateApiModel + replicateApiModelVersion = settings.replicateApiModelVersion + replicateApiModelTrigger = settings.replicateApiModelTrigger + } else if ( + settings.renderingModelVendor === "HUGGINGFACE" && + settings.huggingfaceApiKey && + settings.huggingfaceApiKey !== placeholder && + settings.huggingfaceInferenceApiModel + ) { + console.log("using Hugging Face using user credentials (hidden)") + renderingEngine = "INFERENCE_API" + huggingfaceApiKey = settings.huggingfaceApiKey + huggingfaceInferenceApiModel = settings.huggingfaceInferenceApiModel + huggingfaceInferenceApiModelTrigger = settings.huggingfaceInferenceApiModelTrigger + huggingfaceInferenceApiFileType = settings.huggingfaceInferenceApiFileType + } + + try { + if (renderingEngine === "OPENAI") { + + /* + const openai = new OpenAI({ + apiKey: openaiApiKey + }); + */ + + // When using DALL·E 3, images can have a size of 1024x1024, 1024x1792 or 1792x1024 pixels. + // the improved resolution is nice, but the AI Comic Factory needs a special ratio + // anyway, let's see what we can do + + const size = + width > height ? '1792x1024' : + width < height ? '1024x1792' : + '1024x1024' + + /* + const response = await openai.createImage({ + model: "dall-e-3", + prompt, + n: 1, + size: size as any, + // quality: "standard", + }) + */ + + const res = await fetch(`${serverOpenaiApiBaseUrl}/images/generations`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${openaiApiKey}`, + }, + body: JSON.stringify({ + model: openaiApiModel, + prompt, + n: 1, + size, + // quality: "standard", + }), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as { data: { url: string }[] } + + // console.log("response:", response) + return { + renderId: uuidv4(), + status: "completed", + assetUrl: response.data[0].url || "", + alt: prompt, + error: "", + maskUrl: "", + segments: [] + } as RenderedScene + } else if (renderingEngine === "REPLICATE") { + if (!replicateApiKey) { + throw new Error(`invalid replicateApiKey, you need to configure your REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`) + } + if (!replicateApiModel) { + throw new Error(`invalid replicateApiModel, you need to configure your REPLICATE_API_MODEL in order to use the REPLICATE rendering engine`) + } + if (!replicateApiModelVersion) { + throw new Error(`invalid replicateApiModelVersion, you need to configure your REPLICATE_API_MODEL_VERSION in order to use the REPLICATE rendering engine`) + } + const replicate = new Replicate({ auth: replicateApiKey }) + + const seed = generateSeed() + const prediction = await replicate.predictions.create({ + version: replicateApiModelVersion, + input: { + prompt: [ + "beautiful", + // "intricate details", + replicateApiModelTrigger || "", + prompt, + "award winning", + "high resolution" + ].filter(x => x).join(", "), + width, + height, + seed, + ...replicateApiModelTrigger && { + lora_scale: 0.85 // we generally want something high here + }, + } + }) + + // no need to reply straight away as images take time to generate, this isn't instantaneous + // also our friends at Replicate won't like it if we spam them with requests + await sleep(4000) + + return { + renderId: prediction.id, + status: "pending", + assetUrl: "", + alt: prompt, + error: prediction.error, + maskUrl: "", + segments: [] + } as RenderedScene + } if (renderingEngine === "INFERENCE_ENDPOINT" || renderingEngine === "INFERENCE_API") { + if (!huggingfaceApiKey) { + throw new Error(`invalid huggingfaceApiKey, you need to configure your HF_API_TOKEN in order to use the ${renderingEngine} rendering engine`) + } + if (renderingEngine === "INFERENCE_ENDPOINT" && !huggingfaceApiUrl) { + throw new Error(`invalid huggingfaceApiUrl, you need to configure your RENDERING_HF_INFERENCE_ENDPOINT_URL in order to use the INFERENCE_ENDPOINT rendering engine`) + } + if (renderingEngine === "INFERENCE_API" && !huggingfaceInferenceApiModel) { + throw new Error(`invalid huggingfaceInferenceApiModel, you need to configure your RENDERING_HF_INFERENCE_API_BASE_MODEL in order to use the INFERENCE_API rendering engine`) + } + if (renderingEngine === "INFERENCE_API" && !huggingfaceInferenceApiModelRefinerModel) { + throw new Error(`invalid huggingfaceInferenceApiModelRefinerModel, you need to configure your RENDERING_HF_INFERENCE_API_REFINER_MODEL in order to use the INFERENCE_API rendering engine`) + } + + const baseModelUrl = renderingEngine === "INFERENCE_ENDPOINT" + ? huggingfaceApiUrl + : `https://api-inference.huggingface.co/models/${huggingfaceInferenceApiModel}` + + const positivePrompt = [ + "beautiful", + // "intricate details", + huggingfaceInferenceApiModelTrigger || "", + prompt, + "award winning", + "high resolution" + ].filter(x => x).join(", ") + + const res = await fetch(baseModelUrl, { + method: "POST", + headers: { + "Content-Type": "application/json", + Accept: huggingfaceInferenceApiFileType, + Authorization: `Bearer ${huggingfaceApiKey}`, + }, + body: JSON.stringify({ + inputs: positivePrompt, + parameters: { + num_inference_steps: nbInferenceSteps, + guidance_scale: guidanceScale, + width, + height, + }, + + // this doesn't do what you think it does + use_cache: false, // withCache, + }), + cache: "no-store", + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + + // Recommendation: handle errors + if (res.status !== 200) { + const content = await res.text() + console.error(content) + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const blob = await res.arrayBuffer() + + const contentType = res.headers.get('content-type') + + let assetUrl = `data:${contentType};base64,${Buffer.from(blob).toString('base64')}` + + // note: there is no "refiner" step yet for custom inference endpoint + // you probably don't need it anyway, as you probably want to deploy an all-in-one model instead for perf reasons + + if (renderingEngine === "INFERENCE_API") { + try { + const refinerModelUrl = `https://api-inference.huggingface.co/models/${huggingfaceInferenceApiModelRefinerModel}` + + const res = await fetch(refinerModelUrl, { + method: "POST", + headers: { + "Content-Type": "application/json", + Authorization: `Bearer ${huggingfaceApiKey}`, + }, + body: JSON.stringify({ + inputs: Buffer.from(blob).toString('base64'), + parameters: { + prompt: positivePrompt, + num_inference_steps: nbInferenceSteps, + guidance_scale: guidanceScale, + width, + height, + }, + + // this doesn't do what you think it does + use_cache: false, // withCache, + }), + cache: "no-store", + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + + // Recommendation: handle errors + if (res.status !== 200) { + const content = await res.json() + // if (content.error.include("currently loading")) { + // console.log("refiner isn't ready yet") + throw new Error(content?.error || 'Failed to fetch data') + } + + const refinedBlob = await res.arrayBuffer() + + const contentType = res.headers.get('content-type') + + assetUrl = `data:${contentType};base64,${Buffer.from(refinedBlob).toString('base64')}` + + } catch (err) { + console.log(`Refiner step failed, but this is not a blocker. Error details: ${err}`) + } + } + + return { + renderId: uuidv4(), + status: "completed", + assetUrl, + alt: prompt, + error: "", + maskUrl: "", + segments: [] + } as RenderedScene + } else { + + const res = await fetch(`${videochainApiUrl}${videochainApiUrl.endsWith("/") ? "" : "/"}render`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${videochainToken}`, + }, + body: JSON.stringify({ + prompt, + // negativePrompt, unused for now + + nbFrames, + + nbSteps: nbInferenceSteps, // 20 = fast, 30 = better, 50 = best + actionnables: [], // ["text block"], + segmentation: "disabled", // "firstframe", // one day we will remove this param, to make it automatic + width, + height, + + // no need to upscale right now as we generate tiny panels + // maybe later we can provide an "export" button to PDF + // unfortunately there are too many requests for upscaling, + // the server is always down + upscalingFactor: 1, // 2, + + // let's completely disable turbo mode, it doesn't work well for drawings and comics, + // basically all the people I talked to said it sucked + turbo: false, // settings.renderingUseTurbo, + + // analyzing doesn't work yet, it seems.. + analyze: false, // analyze: true, + + cache: "ignore" + } as Partial), + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as RenderedScene + + return response + } + } catch (err) { + console.error(err) + return defaulResult + } +} + +export async function getRender(renderId: string, settings: Settings) { + if (!renderId) { + const error = `cannot call the rendering API without a renderId, aborting..` + console.error(error) + throw new Error(error) + } + + + let renderingEngine = serverRenderingEngine + let openaiApiKey = serverOpenaiApiKey + let openaiApiModel = serverOpenaiApiModel + + let replicateApiKey = serverReplicateApiKey + let replicateApiModel = serverReplicateApiModel + let replicateApiModelVersion = serverReplicateApiModelVersion + let replicateApiModelTrigger = serverReplicateApiModelTrigger + + let huggingfaceApiKey = serverHuggingfaceApiKey + let huggingfaceInferenceApiModel = serverHuggingfaceInferenceApiModel + let huggingfaceInferenceApiModelTrigger = serverHuggingfaceInferenceApiModelTrigger + let huggingfaceApiUrl = serverHuggingfaceApiUrl + let huggingfaceInferenceApiModelRefinerModel = serverHuggingfaceInferenceApiModelRefinerModel + + const placeholder = "" + + if ( + settings.renderingModelVendor === "OPENAI" && + settings.openaiApiKey && + settings.openaiApiKey !== placeholder && + settings.openaiApiModel + ) { + renderingEngine = "OPENAI" + openaiApiKey = settings.openaiApiKey + openaiApiModel = settings.openaiApiModel + } if ( + settings.renderingModelVendor === "REPLICATE" && + settings.replicateApiKey && + settings.replicateApiKey !== placeholder && + settings.replicateApiModel && + settings.replicateApiModelVersion + ) { + renderingEngine = "REPLICATE" + replicateApiKey = settings.replicateApiKey + replicateApiModel = settings.replicateApiModel + replicateApiModelVersion = settings.replicateApiModelVersion + replicateApiModelTrigger = settings.replicateApiModelTrigger + } else if ( + settings.renderingModelVendor === "HUGGINGFACE" && + settings.huggingfaceApiKey && + settings.huggingfaceApiKey !== placeholder && + settings.huggingfaceInferenceApiModel + ) { + // console.log("using Hugging Face using user credentials (hidden)") + renderingEngine = "INFERENCE_API" + huggingfaceApiKey = settings.huggingfaceApiKey + huggingfaceInferenceApiModel = settings.huggingfaceInferenceApiModel + huggingfaceInferenceApiModelTrigger = settings.huggingfaceInferenceApiModelTrigger + } + + let defaulResult: RenderedScene = { + renderId: "", + status: "pending", + assetUrl: "", + alt: "", + maskUrl: "", + error: "failed to fetch the data", + segments: [] + } + + try { + if (renderingEngine === "REPLICATE") { + if (!replicateApiKey) { + throw new Error(`invalid replicateApiKey, you need to configure your AUTH_REPLICATE_API_TOKEN in order to use the REPLICATE rendering engine`) + } + + const res = await fetch(`https://api.replicate.com/v1/predictions/${renderId}`, { + method: "GET", + headers: { + Authorization: `Token ${replicateApiKey}`, + }, + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + // Recommendation: handle errors + if (res.status !== 200) { + // This will activate the closest `error.js` Error Boundary + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as any + + return { + renderId, + status: response?.error ? "error" : response?.status === "succeeded" ? "completed" : "pending", + assetUrl: `${response?.output || ""}`, + alt: `${response?.input?.prompt || ""}`, + error: `${response?.error || ""}`, + maskUrl: "", + segments: [] + } as RenderedScene + } else { + const res = await fetch(`${videochainApiUrl}/render/${renderId}`, { + method: "GET", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${videochainToken}`, + }, + cache: 'no-store', + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as RenderedScene + return response + } + } catch (err) { + console.error(err) + defaulResult.status = "error" + defaulResult.error = `${err}` + return defaulResult + } +} + +export async function upscaleImage(image: string): Promise<{ + assetUrl: string + error: string +}> { + if (!image) { + const error = `cannot call the rendering API without an image, aborting..` + console.error(error) + throw new Error(error) + } + + let defaulResult = { + assetUrl: "", + error: "failed to fetch the data", + } + + try { + const res = await fetch(`${videochainApiUrl}/upscale`, { + method: "POST", + headers: { + Accept: "application/json", + "Content-Type": "application/json", + Authorization: `Bearer ${videochainToken}`, + }, + cache: 'no-store', + body: JSON.stringify({ image, factor: 3 }) + // we can also use this (see https://vercel.com/blog/vercel-cache-api-nextjs-cache) + // next: { revalidate: 1 } + }) + + if (res.status !== 200) { + throw new Error('Failed to fetch data') + } + + const response = (await res.json()) as { + assetUrl: string + error: string + } + return response + } catch (err) { + console.error(err) + return defaulResult + } +} diff --git a/src/app/favicon.ico b/src/app/favicon.ico new file mode 100644 index 0000000000000000000000000000000000000000..060fa8ce26f545dd54e28b76401e5bc7a55b7c92 Binary files /dev/null and b/src/app/favicon.ico differ diff --git a/src/app/globals.css b/src/app/globals.css new file mode 100644 index 0000000000000000000000000000000000000000..013944be907385c6e14151d56a43b585f261292f --- /dev/null +++ b/src/app/globals.css @@ -0,0 +1,39 @@ +@tailwind base; +@tailwind components; +@tailwind utilities; + +:root { + --foreground-rgb: 0, 0, 0; + --background-start-rgb: 214, 219, 220; + --background-end-rgb: 255, 255, 255; +} + +@media (prefers-color-scheme: dark) { + :root { + --foreground-rgb: 255, 255, 255; + --background-start-rgb: 0, 0, 0; + --background-end-rgb: 0, 0, 0; + } +} + +body { + color: rgb(var(--foreground-rgb)); + background: linear-gradient( + to bottom, + transparent, + rgb(var(--background-end-rgb)) + ) + rgb(var(--background-start-rgb)); +} + +/* this is the trick to bypass the style={{}} attribute when printing */ +@media print { + .comic-page, .comic-page[style] { width: 100vw !important; } + @page { size: landscape } +} + + +.render-to-image .comic-panel { + height: auto !important; + /* max-width: fit-content !important; */ +} diff --git a/src/app/icon.png b/src/app/icon.png new file mode 100644 index 0000000000000000000000000000000000000000..ecc6cbefdfc1232e92b40cc616cc34388b0360da Binary files /dev/null and b/src/app/icon.png differ diff --git a/src/app/interface/about/index.tsx b/src/app/interface/about/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..d15775b793f61dbaefff408c1dff2ac13b9bb839 --- /dev/null +++ b/src/app/interface/about/index.tsx @@ -0,0 +1,46 @@ +import { Button } from "@/components/ui/button" +import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog" +import { useState } from "react" + +export function About() { + const [isOpen, setOpen] = useState(false) + + return ( + + + + + + + The AI Comic Factory + + What is the AI Comic Factory? + + +
+

+ The AI Comic Factory is a free and open-source application made to demonstrate the capabilities of AI models. +

+

+ And yes, you can use your own art to generate comic panels! +

+

+ 👉 The language model used to generate the story is Zephyr-7b-beta. +

+

+ 👉 The diffusion model used by default is LCM SDXL, which is fast but doesn&pos;t have the highest quality. You can decide to use a slower model in the settings. +

+

+ The code is public and can be deployed at home with some changes in the code. See the README for details about the architecture. +

+
+ + + + + + ) +} \ No newline at end of file diff --git a/src/app/interface/ai-clip-factory/index.tsx b/src/app/interface/ai-clip-factory/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..ce8e9d3c910be49ec99b46d9c7c22ee5e7783a86 --- /dev/null +++ b/src/app/interface/ai-clip-factory/index.tsx @@ -0,0 +1,15 @@ +import { Button } from "@/components/ui/button" + +export function AIClipFactory() { + return ( + + ) +} \ No newline at end of file diff --git a/src/app/interface/bottom-bar/index.tsx b/src/app/interface/bottom-bar/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..eda5e9dc7d322f9e2d84d2848770cba96c1de983 --- /dev/null +++ b/src/app/interface/bottom-bar/index.tsx @@ -0,0 +1,143 @@ +import { useStore } from "@/app/store" +import { Button } from "@/components/ui/button" +import { cn } from "@/lib/utils" +import { About } from "../about" +import { startTransition, useState } from "react" +import { upscaleImage } from "@/app/engine/render" +import { sleep } from "@/lib/sleep" +import { AIClipFactory } from "../ai-clip-factory" +import { Share } from "../share" +import { SettingsDialog } from "../settings-dialog" + +export function BottomBar() { + const download = useStore(state => state.download) + const isGeneratingStory = useStore(state => state.isGeneratingStory) + const prompt = useStore(state => state.prompt) + const panelGenerationStatus = useStore(state => state.panelGenerationStatus) + const page = useStore(state => state.page) + const preset = useStore(state => state.preset) + const pageToImage = useStore(state => state.pageToImage) + + const allStatus = Object.values(panelGenerationStatus) + const remainingImages = allStatus.reduce((acc, s) => (acc + (s ? 1 : 0)), 0) + + const upscaleQueue = useStore(state => state.upscaleQueue) + const renderedScenes = useStore(state => state.renderedScenes) + const removeFromUpscaleQueue = useStore(state => state.removeFromUpscaleQueue) + const setRendered = useStore(state => state.setRendered) + const [isUpscaling, setUpscaling] = useState(false) + + const handleUpscale = () => { + setUpscaling(true) + startTransition(() => { + const fn = async () => { + for (let [panelId, renderedScene] of Object.entries(upscaleQueue)) { + try { + console.log(`upscaling panel ${panelId} (${renderedScene.renderId})`) + const result = await upscaleImage(renderedScene.assetUrl) + await sleep(1000) + if (result.assetUrl) { + console.log(`upscale successful, removing ${panelId} (${renderedScene.renderId}) from upscale queue`) + setRendered(panelId, { + ...renderedScene, + assetUrl: result.assetUrl + }) + removeFromUpscaleQueue(panelId) + } + + } catch (err) { + console.error(`failed to upscale: ${err}`) + } + } + + setUpscaling(false) + } + + fn() + }) + } + + const handlePrint = () => { + window.print() + } + + return ( +
+
+ + {/* + Thank you clip factory for your service 🫡 + + */} +
+
+ + {/**/} + + {/* +
+ +
+
+ +
+ */} + + +
+
+ ) +} \ No newline at end of file diff --git a/src/app/interface/display/index.tsx b/src/app/interface/display/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..26ba8d02a6afd446981aeca6c1c24b267ab467f1 --- /dev/null +++ b/src/app/interface/display/index.tsx @@ -0,0 +1,12 @@ +import { RenderedScene } from "@/types" + +export function Display ({ rendered }: { rendered: RenderedScene }) { + return ( + <> + + + ) +} \ No newline at end of file diff --git a/src/app/interface/edit-modal/index.tsx b/src/app/interface/edit-modal/index.tsx new file mode 100644 index 0000000000000000000000000000000000000000..3ee16f399396312355f84cee3500df435456b7d0 --- /dev/null +++ b/src/app/interface/edit-modal/index.tsx @@ -0,0 +1,87 @@ +import { ReactNode, useState } from "react" +import { RxReload, RxPencil2 } from "react-icons/rx" + +import { Button } from "@/components/ui/button" +import { Dialog, DialogContent, DialogDescription, DialogFooter, DialogHeader, DialogTitle, DialogTrigger } from "@/components/ui/dialog" +import { Input } from "@/components/ui/input" +import { cn } from "@/lib/utils" +import { Textarea } from "@/components/ui/textarea" + + +export function EditModal({ + existingPrompt, + isEnabled, + className, + children, + onSave, + }: { + existingPrompt: string; + isEnabled: boolean; + className?: string; + children?: ReactNode; + onSave: (newPrompt: string) => void; + }) { + const [draftPrompt, setDraftPrompt] = useState(existingPrompt) + const [isOpen, setOpen] = useState(false) + + const handleSubmit = () => { + if (draftPrompt) { + onSave(draftPrompt) + setOpen(false) + } + } + + return ( + { + if (!open || isEnabled) { + setOpen(open) + if (!open) { + setDraftPrompt(existingPrompt) + } + } + }}> + + {children} + + + + + Edit Prompt + + +
+