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| from diffusers import StableDiffusionPipeline | |
| import gradio as gr | |
| import torch | |
| models = [ | |
| "DGSpitzer/Cyberpunk-Anime-Diffusion" | |
| ] | |
| prompt_prefixes = { | |
| models[0]: "cyberpunk anime style" | |
| } | |
| 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;"> | |
| DGS Diffusion Space | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%"> | |
| Demo for Cyberpunk Anime Diffusion. Based of Finetuned Diffusion by anzorq <a href="https://twitter.com/hahahahohohe"> | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| model = gr.Dropdown(label="Model", choices=models, value=models[0]) | |
| prompt = gr.Textbox(label="Prompt", placeholder="{} is added automatically".format(prompt_prefixes[current_model])) | |
| 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([ | |
| ["portrait of a girl in dgs illustration style, Anime girl, female soldier working in a cyberpunk city, cleavage, ((perfect femine face)), intricate, 8k, highly detailed, shy, digital painting, intense, sharp focus", 7, 20], | |
| ["a photo of muscular beard soldier male in dgs illustration style, half-body, holding robot arms, strong chest", 7.0, 20], | |
| ["portrait of ((Harry Potter)) muscular ((male)) in dgs illustration style, photorealistic painting, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7, 20], | |
| ["portrait of (liu yifei) girl in dgs illustration style, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7, 20], | |
| ["portrait of in dgs illustration style, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7, 20], | |
| ], [prompt, guidance, steps], image_out, inference, cache_examples=torch.cuda.is_available()) | |
| gr.HTML(''' | |
| <div> | |
| <p>Model by <a href="https://huggingface.co/DGSpitzer" style="text-decoration: underline;" target="_blank">@dgspitzer</a> ❤️</p> | |
| </div> | |
| <div>Space by | |
| <a href="https://twitter.com/DGSpitzer"> | |
| <img alt="Twitter Follow" src="https://img.shields.io/twitter/follow/DGSpitzer?label=%40DGSpitzer&style=social"> | |
| </a> | |
| </div> | |
| ''') | |
| demo.queue() | |
| demo.launch() |