language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
inference: true
license: creativeml-openrail-m
Protogen_v5.3 - One Step Closer to Reality by darkstorm2150
Protogen was warm-started with Stable Diffusion v1-5 and continued fine-tuned from darkstorm2150/Protogen_x3.4_Official_Release Robodiffusion has been removed and 10% Dreamlike-PhotoReal V.2 added, the result is better sampling at 768px to 1024px of humans and surroundings, The results are immediate!!!
Also this bad boy comes with a license, so do please read it, thank you!
Model control
Now its recommended that you add nude, naked to your negative prompts, its a horny model, well 10% but still....cant be too careful!
As for realism, you can use this template
modelshoot style, (extremely detailed 8k wallpaper),a medium shot photo of a (what you want here), Intricate, High Detail, dramatic
It should also be very "dreambooth-able", being able to generate high fidelity faces with a little amount of steps (see dreambooth).
Space
We support a Gradio Web UI:
CompVis
Download ProtoGen_X5.3.ckpt) (5.98GB)
🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion Pipeline.
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch
prompt = (
"modelshoot style, (extremely detailed CG unity 8k wallpaper), full shot body photo of the most beautiful artwork in the world, "
"english medieval witch, black silk vale, pale skin, black silk robe, black cat, necromancy magic, medieval era, "
"photorealistic painting by Ed Blinkey, Atey Ghailan, Studio Ghibli, by Jeremy Mann, Greg Manchess, Antonio Moro, trending on ArtStation, "
"trending on CGSociety, Intricate, High Detail, Sharp focus, dramatic, photorealistic painting art by midjourney and greg rutkowski"
)
model_id = "darkstorm2150/Protogen_v5.3_Official_Release"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
pipe = pipe.to("cuda")
image = pipe(prompt, num_inference_steps=25).images[0]
image.save("./result.jpg")
License
This model is licesed under a modified CreativeML OpenRAIL-M license.
You are not allowed to host, finetune, or do inference with the model or its derivatives on websites/apps/etc. If you want to, please email us at [email protected]
You are free to host the model card and files (Without any actual inference or finetuning) on both commercial and non-commercial websites/apps/etc. Please state the full model name (Dreamlike Photoreal 2.0) and include the license as well as a link to the model card (https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0)
You are free to use the outputs (images) of the model for commercial purposes in teams of 10 or less
You can't use the model to deliberately produce nor share illegal or harmful outputs or content
The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
You may re-distribute the weights. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the modified CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here: https://huggingface.co/dreamlike-art/dreamlike-photoreal-2.0/blob/main/LICENSE.md