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from diffusers import StableDiffusionPipeline
import gradio as gr
import torch
models = [
"DGSpitzer/Cyberpunk-Anime-Diffusion"
]
prompt_prefixes = {
models[0]: "dgs illustration 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>
"""
)
gr.Markdown('''
*Buy me a coffee if you like this project ;P ♥ 👉 *[![Buy me a coffee](https://badgen.net/badge/icon/Buy%20Me%20A%20Coffee?icon=buymeacoffee&label)](https://www.buymeacoffee.com/dgspitzer)
''')
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=27, 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 anime girl", 7.5, 27],
["a beautiful perfect face girl, Anime fine details portrait of school girl in front of modern tokyo city landscape on the background deep bokeh, anime masterpiece by studio ghibli, 8k, sharp high quality anime, artstation", 7.5, 27],
["cyberpunk city landscape with fancy car", 7.5, 27],
["portrait of liu yifei girl, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7.5, 27],
["portrait of a muscular beard male in dgs illustration style, half-body, holding robot arms, strong chest", 7.5, 27],
], [prompt, guidance, steps], image_out, inference, cache_examples=torch.cuda.is_available())
gr.Markdown('''
Models and Space by [@DGSpitzer](https://huggingface.co./DGSpitzer)❤️<br>
[![Twitter Follow](https://img.shields.io/twitter/follow/DGSpitzer?label=%40DGSpitzer&style=social)](https://twitter.com/DGSpitzer)
![visitors](https://visitor-badge.glitch.me/badge?page_id=dgspitzer_DGS_Diffusion_Space)
![visitors](https://visitor-badge.glitch.me/badge?page_id=Cyberpunk_Anime_Diffusion)
''')
demo.queue()
demo.launch() |