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| from diffusers import StableDiffusionPipeline | |
| import gradio as gr | |
| import torch | |
| models = [ | |
| "nitrosocke/Arcane-Diffusion", | |
| "nitrosocke/archer-diffusion", | |
| "nitrosocke/elden-ring-diffusion", | |
| "nitrosocke/spider-verse-diffusion", | |
| "nitrosocke/modern-disney-diffusion", | |
| "hakurei/waifu-diffusion", | |
| "lambdalabs/sd-pokemon-diffusers", | |
| "yuk/fuyuko-waifu-diffusion", | |
| "AstraliteHeart/pony-diffusion", | |
| "IfanSnek/JohnDiffusion", | |
| "nousr/robo-diffusion" | |
| ] | |
| prompt_prefixes = { | |
| models[0]: "arcane style ", | |
| models[1]: "archer style ", | |
| models[2]: "elden ring style ", | |
| models[3]: "spiderverse style ", | |
| models[4]: "modern disney style ", | |
| models[5]: "", | |
| models[6]: "", | |
| models[7]: "", | |
| models[8]: "", | |
| models[9]: "", | |
| models[10]: "", | |
| } | |
| current_model = models[0] | |
| pipe = StableDiffusionPipeline.from_pretrained(current_model, torch_dtype=torch.float16) | |
| if torch.cuda.is_available(): | |
| pipe = pipe.to("cuda") | |
| device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶" | |
| def on_model_change(model): | |
| global current_model | |
| global pipe | |
| if model != current_model: | |
| current_model = model | |
| pipe = StableDiffusionPipeline.from_pretrained(current_model, torch_dtype=torch.float16) | |
| if torch.cuda.is_available(): | |
| pipe = pipe.to("cuda") | |
| def inference(prompt, guidance, steps): | |
| prompt = prompt_prefixes[current_model] + prompt | |
| image = pipe(prompt, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images[0] | |
| return image | |
| with gr.Blocks() as demo: | |
| gr.HTML( | |
| """ | |
| <div style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
| <div | |
| style=" | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 0.8rem; | |
| font-size: 1.75rem; | |
| " | |
| > | |
| <h1 style="font-weight: 900; margin-bottom: 7px;"> | |
| Finetuned Diffusion | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%"> | |
| Demo for multiple fine-tuned Stable Diffusion models, trained on different styles: | |
| <a href="https://huggingface.co/nitrosocke/Arcane-Diffusion">Arcane</a>, <a href="https://huggingface.co/nitrosocke/archer-diffusion">Archer</a>, <a href="https://huggingface.co/nitrosocke/elden-ring-diffusion">Elden Ring</a>, <a href="https://huggingface.co/nitrosocke/spider-verse-diffusion">Spiderverse</a>, <a href="https://huggingface.co/nitrosocke/modern-disney-diffusion">Modern Disney</a>, <a href="https://huggingface.co/hakurei/waifu-diffusion">Waifu</a>, <a href="https://huggingface.co/lambdalabs/sd-pokemon-diffusers">Pokemon</a>, <a href="https://huggingface.co/yuk/fuyuko-waifu-diffusion">Fuyuko Waifu</a>, <a href="https://huggingface.co/AstraliteHeart/pony-diffusion">Pony</a>, <a href="https://huggingface.co/IfanSnek/JohnDiffusion">John</a>, <a href="https://huggingface.co/nousr/robo-diffusion">Robo</a>. | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| model = gr.Dropdown(label="Model", choices=models, value=models[0]) | |
| prompt = gr.Textbox(label="Prompt", placeholder="Style prefix is applied automatically") | |
| guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15) | |
| steps = gr.Slider(label="Steps", value=50, maximum=100, minimum=2) | |
| run = gr.Button(value="Run") | |
| gr.Markdown(f"Running on: {device}") | |
| with gr.Column(): | |
| image_out = gr.Image(height=512) | |
| model.change(on_model_change, inputs=model, outputs=[]) | |
| run.click(inference, inputs=[prompt, guidance, steps], outputs=image_out) | |
| gr.Examples([ | |
| ["jason bateman disassembling the demon core", 7.5, 50], | |
| ["portrait of dwayne johnson", 7.0, 75], | |
| ["portrait of a beautiful alyx vance half life", 10, 50], | |
| ["Aloy from Horizon: Zero Dawn, half body portrait, smooth, detailed armor, beautiful face, illustration", 7, 45], | |
| ["fantasy portrait painting, digital art", 4, 30], | |
| ], [prompt, guidance, steps], image_out, inference, cache_examples=torch.cuda.is_available()) | |
| gr.HTML(''' | |
| <div> | |
| <p>Model by <a href="https://huggingface.co/nitrosocke" style="text-decoration: underline;" target="_blank">@nitrosocke</a> ❤️</p> | |
| </div> | |
| <div>Space by | |
| <a href="https://twitter.com/hahahahohohe"> | |
| <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/hahahahohohe?label=%40anzorq&style=social"> | |
| </a> | |
| </div> | |
| ''') | |
| demo.queue() | |
| demo.launch() |