chore: first pass for README

.gitignore

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+.DS_Store

LICENSE.md

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+STABILITY AI COMMUNITY LICENSE AGREEMENT
+Last Updated: July 5, 2024
+
+
+I. INTRODUCTION
+
+This Agreement applies to any individual person or entity ("You", "Your" or "Licensee") that uses or distributes any portion or element of the Stability AI Materials or Derivative Works thereof for any Research & Non-Commercial or Commercial purpose. Capitalized terms not otherwise defined herein are defined in Section V below.
+
+
+This Agreement is intended to allow research, non-commercial, and limited commercial uses of the Models free of charge. In order to ensure that certain limited commercial uses of the Models continue to be allowed, this Agreement preserves free access to the Models for people or organizations generating annual revenue of less than US $1,000,000 (or local currency equivalent). 
+
+
+By clicking "I Accept" or by using or distributing or using any portion or element of the Stability Materials or Derivative Works, You agree that You have read, understood and are bound by the terms of this Agreement. If You are acting on behalf of a company, organization or other entity, then "You" includes you and that entity, and You agree that You: (i) are an authorized representative of such entity with the authority to bind such entity to this Agreement, and (ii) You agree to the terms of this Agreement on that entity's behalf. 
+
+II. RESEARCH & NON-COMMERCIAL USE LICENSE
+
+Subject to the terms of this Agreement, Stability AI grants You a non-exclusive, worldwide, non-transferable, non-sublicensable, revocable and royalty-free limited license under Stability AI's intellectual property or other rights owned by Stability AI embodied in the Stability AI Materials to use, reproduce, distribute, and create Derivative Works of, and make modifications to, the Stability AI Materials for any Research or Non-Commercial Purpose. "Research Purpose" means academic or scientific advancement, and in each case, is not primarily intended for commercial advantage or monetary compensation to You or others. "Non-Commercial Purpose" means any purpose other than a Research Purpose that is not primarily intended for commercial advantage or monetary compensation to You or others, such as personal use (i.e., hobbyist) or evaluation and testing. 
+
+III. COMMERCIAL USE LICENSE
+
+Subject to the terms of this Agreement (including the remainder of this Section III), Stability AI grants You a non-exclusive, worldwide, non-transferable, non-sublicensable, revocable and royalty-free limited license under Stability AI's intellectual property or other rights owned by Stability AI embodied in the Stability AI Materials to use, reproduce, distribute, and create Derivative Works of, and make modifications to, the Stability AI Materials for any Commercial Purpose. "Commercial Purpose" means any purpose other than a Research Purpose or Non-Commercial Purpose that is primarily intended for commercial advantage or monetary compensation to You or others, including but not limited to, (i) creating, modifying, or distributing Your product or service, including via a hosted service or application programming interface, and (ii) for Your business's or organization's internal operations. 
+If You are using or distributing the Stability AI Materials for a Commercial Purpose, You must register with Stability AI at (https://stability.ai/community-license). If at any time You or Your Affiliate(s), either individually or in aggregate, generate more than USD $1,000,000 in annual revenue (or the equivalent thereof in Your local currency), regardless of whether that revenue is generated directly or indirectly from the Stability AI Materials or Derivative Works, any licenses granted to You under this Agreement shall terminate as of such date. You must request a license from Stability AI at (https://stability.ai/enterprise) , which Stability AI may grant to You in its sole discretion. If you receive Stability AI Materials, or any Derivative Works thereof, from a Licensee as part of an integrated end user product, then Section III of this Agreement will not apply to you.
+
+IV. GENERAL TERMS
+
+Your Research, Non-Commercial, and Commercial License(s) under this Agreement are subject to the following terms.
+a. Distribution & Attribution. If You distribute or make available the Stability AI Materials or a Derivative Work to a third party, or a product or service that uses any portion of them, You shall: (i) provide a copy of this Agreement to that third party, (ii) retain the following attribution notice within a "Notice" text file distributed as a part of such copies: "This Stability AI Model is licensed under the Stability AI Community License, Copyright © Stability AI Ltd. All Rights Reserved", and (iii) prominently display "Powered by Stability AI" on a related website, user interface, blogpost, about page, or product documentation. If You create a Derivative Work, You may add your own attribution notice(s) to the "Notice" text file included with that Derivative Work, provided that You clearly indicate which attributions apply to the Stability AI Materials and state in the "Notice" text file that You changed the Stability AI Materials and how it was modified.
+b. Use Restrictions. Your use of the Stability AI Materials and Derivative Works, including any output or results of the Stability AI Materials or Derivative Works, must comply with applicable laws and regulations (including Trade Control Laws and equivalent regulations) and adhere to the Documentation and Stability AI's AUP, which is hereby incorporated by reference. Furthermore, You will not use the Stability AI Materials or Derivative Works, or any output or results of the Stability AI Materials or Derivative Works, to create or improve any foundational generative AI model (excluding the Models or Derivative Works). 
+c. Intellectual Property. 
+(i) Trademark License. No trademark licenses are granted under this Agreement, and in connection with the Stability AI Materials or Derivative Works, You may not use any name or mark owned by or associated with Stability AI or any of its Affiliates, except as required under Section IV(a) herein.
+(ii) Ownership of Derivative Works. As between You and Stability AI, You are the owner of Derivative Works You create, subject to Stability AI's ownership of the Stability AI Materials and any Derivative Works made by or for Stability AI.
+(iii) Ownership of Outputs. As between You and Stability AI, You own any outputs generated from the Models or Derivative Works to the extent permitted by applicable law. 
+(iv) Disputes. If You or Your Affiliate(s) institute litigation or other proceedings against Stability AI (including a cross-claim or counterclaim in a lawsuit) alleging that the Stability AI Materials, Derivative Works or associated outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by You, then any licenses granted to You under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Stability AI from and against any claim by any third party arising out of or related to Your use or distribution of the Stability AI Materials or Derivative Works in violation of this Agreement.
+(v) Feedback. From time to time, You may provide Stability AI with verbal and/or written suggestions, comments or other feedback related to Stability AI's existing or prospective technology, products or services (collectively, "Feedback"). You are not obligated to provide Stability AI with Feedback, but to the extent that You do, You hereby grant Stability AI a perpetual, irrevocable, royalty-free, fully-paid, sub-licensable, transferable, non-exclusive, worldwide right and license to exploit the Feedback in any manner without restriction. Your Feedback is provided "AS IS" and You make no warranties whatsoever about any Feedback.
+d. Disclaimer Of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE STABILITY AI MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OR LAWFULNESS OF USING OR REDISTRIBUTING THE STABILITY AI MATERIALS, DERIVATIVE WORKS OR ANY OUTPUT OR RESULTS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE STABILITY AI MATERIALS, DERIVATIVE WORKS AND ANY OUTPUT AND RESULTS.
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+f. Term And Termination. The term of this Agreement will commence upon Your acceptance of this Agreement or access to the Stability AI Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Stability AI may terminate this Agreement if You are in breach of any term or condition of this Agreement. Upon termination of this Agreement, You shall delete and cease use of any Stability AI Materials or Derivative Works. Section IV(d), (e), and (g) shall survive the termination of this Agreement.
+g. Governing Law. This Agreement will be governed by and constructed in accordance with the laws of the United States and the State of California without regard to choice of law principles, and the UN Convention on Contracts for International Sale of Goods does not apply to this Agreement.
+
+V. DEFINITIONS 
+
+"Affiliate(s)" means any entity that directly or indirectly controls, is controlled by, or is under common control with the subject entity; for purposes of this definition, "control" means direct or indirect ownership or control of more than 50% of the voting interests of the subject entity.
+"Agreement" means this Stability AI Community License Agreement.
+"AUP" means the Stability AI Acceptable Use Policy available at https://stability.ai/use-policy, as may be updated from time to time.
+"Derivative Work(s)" means (a) any derivative work of the Stability AI Materials as recognized by U.S. copyright laws and (b) any modifications to a Model, and any other model created which is based on or derived from the Model or the Model's output, including"fine tune" and "low-rank adaptation" models derived from a Model or a Model's output, but do not include the output of any Model.
+"Documentation" means any specifications, manuals, documentation, and other written information provided by Stability AI related to the Software or Models.
+"Model(s)" means, collectively, Stability AI's proprietary models and algorithms, including machine-learning models, trained model weights and other elements of the foregoing listed on Stability's Core Models Webpage available at, https://stability.ai/core-models, as may be updated from time to time.
+"Stability AI" or "we" means Stability AI Ltd. and its Affiliates.
+"Software" means Stability AI's proprietary software made available under this Agreement now or in the future.
+"Stability AI Materials" means, collectively, Stability's proprietary Models, Software and Documentation (and any portion or combination thereof) made available under this Agreement. 
+"Trade Control Laws" means any applicable U.S. and non-U.S. export control and trade sanctions laws and regulations.

README.md

@@ -1,198 +1,115 @@
 ---
+language:
+- en
 library_name: diffusers
+inference: true
+license: other
+license_name: stabilityai-ai-community
+license_link: LICENSE.md
+tags:
+ - text-to-image
+ - stable-diffusion
+ - diffusers
+base_model:
+ - stabilityai/stable-diffusion-3.5-large
+ - stabilityai/stable-diffusion-3.5-large-turbo
+base_model_relation: merge
 ---
 
-# Model Card for Model ID
+# Stable Diffusion 3.5 Merged
 
-<!-- Provide a quick summary of what the model is/does. -->
+This repository contains the merged version of **Stable Diffusion 3.5**, combining the best features from both the [**Large**](https://huggingface.co/stabilityai/stable-diffusion-3.5-large) and [**Turbo**](https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo) variants. 
 
+| Large | Turbo | Merged |
+| :--: | :--: | :--: |
+| ![](./assets/large.png) | ![](./assets/turbo.png) | ![](./assets/sd-3.5-merged.png) |
 
 
-## Model Details
+## Inference
 
-### Model Description
+Run the following code to generate images using the merged model:
 
-<!-- Provide a longer summary of what this model is. -->
+```python
+from diffusers import StableDiffusion3Pipeline
+import torch
 
-This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
+pipeline = StableDiffusion3Pipeline.from_pretrained(
+ "ariG23498/sd-3.5-merged", torch_dtype=torch.bfloat16
+).to("cuda")
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+prompt = "a tiny astronaut hatching from an egg on the moon"
+image = pipeline(
+ prompt=prompt,
+ guidance_scale=1.0,
+ num_inference_steps=6, # Run faster ⚡️
+ generator=torch.manual_seed(0),
+).images[0]
+image.save("sd-3.5-merged.png")
+```
 
-### Model Sources [optional]
+> **Note**: Turbo variant runs faster with fewer steps, while Large variant requires more steps (around 50) but provides better detail.
 
-<!-- Provide the basic links for the model. -->
+## Merging Models
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+This repository merges the **Stable Diffusion 3.5 Large** and **Stable Diffusion 3.5 Turbo** models into a single, powerful model. The Large version uses classifier-free guidance (CFG) and requires more steps, while the Turbo version is distilled for faster generation without CFG. 
 
-## Uses
+The merged model retains the detail of the Large version and the speed of the Turbo version.
 
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+### Code to Merge Models
 
-### Direct Use
+```python
+from diffusers import SD3Transformer2DModel
+from huggingface_hub import snapshot_download
+from accelerate import init_empty_weights
+from diffusers.models.model_loading_utils import load_model_dict_into_meta
+import safetensors.torch
+import glob
+import torch
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+large_model_id = "stabilityai/stable-diffusion-3.5-large"
+turbo_model_id = "stabilityai/stable-diffusion-3.5-large-turbo"
 
-[More Information Needed]
+with init_empty_weights():
+ config = SD3Transformer2DModel.load_config(large_model_id, subfolder="transformer")
+ model = SD3Transformer2DModel.from_config(config)
 
-### Downstream Use [optional]
+large_ckpt = snapshot_download(repo_id=large_model_id, allow_patterns="transformer/*")
+turbo_ckpt = snapshot_download(repo_id=turbo_model_id, allow_patterns="transformer/*")
 
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+large_shards = sorted(glob.glob(f"{large_ckpt}/transformer/*.safetensors"))
+turbo_shards = sorted(glob.glob(f"{turbo_ckpt}/transformer/*.safetensors"))
 
-[More Information Needed]
+merged_state_dict = {}
+guidance_state_dict = {}
 
-### Out-of-Scope Use
+for i in range(len((large_shards))):
+ state_dict_large_temp = safetensors.torch.load_file(large_shards[i])
+ state_dict_turbo_temp = safetensors.torch.load_file(turbo_shards[i])
 
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+ keys = list(state_dict_large_temp.keys())
+ for k in keys:
+ if "guidance" not in k:
+ merged_state_dict[k] = (state_dict_large_temp.pop(k) + state_dict_turbo_temp.pop(k)) / 2
+ else:
+ guidance_state_dict[k] = state_dict_large_temp.pop(k)
 
-[More Information Needed]
+ if len(state_dict_large_temp) > 0:
+ raise ValueError(f"There should not be any residue but got: {list(state_dict_large_temp.keys())}.")
+ if len(state_dict_turbo_temp) > 0:
+ raise ValueError(f"There should not be any residue but got: {list(state_dict_turbo_temp.keys())}.")
 
-## Bias, Risks, and Limitations
+merged_state_dict.update(guidance_state_dict)
+load_model_dict_into_meta(model, merged_state_dict)
 
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+model.to(torch.bfloat16).save_pretrained("transformer")
 
-[More Information Needed]
+from huggingface_hub import upload_folder
 
-### Recommendations
+upload_folder(
+ repo_id="ariG23498/sd-3.5-merged",
+ folder_path="transformer",
+ path_in_repo="transformer",
+)
+```
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
-
-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
-
-[More Information Needed]
-
-**APA:**
-
-[More Information Needed]
-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
-
-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
-
-## Model Card Contact
-
-[More Information Needed]
+This script downloads the checkpoints, merges them, and saves the merged model locally. You can then upload the merged model to Hugging Face Hub using `upload_folder`.