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Update app.py
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app.py
CHANGED
@@ -1,6 +1,15 @@
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from diffusers import StableDiffusionPipeline
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import gradio as gr
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import torch
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models = [
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"DGSpitzer/Cyberpunk-Anime-Diffusion"
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@@ -11,9 +20,14 @@ prompt_prefixes = {
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}
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current_model = models[0]
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-
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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device = "GPU π₯" if torch.cuda.is_available() else "CPU π₯Ά"
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@@ -23,17 +37,55 @@ def on_model_change(model):
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global pipe
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if model != current_model:
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current_model = model
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pipe = StableDiffusionPipeline.from_pretrained(current_model, torch_dtype=
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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def inference(prompt, guidance, steps):
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prompt = prompt_prefixes[current_model] + prompt
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image = pipe(prompt, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images[0]
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return image
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-
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 700px; margin: 0 auto;">
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@@ -50,40 +102,49 @@ with gr.Blocks() as demo:
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</h1>
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</div>
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<p style="margin-bottom: 10px; font-size: 94%">
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Demo for Cyberpunk Anime Diffusion. Based of
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</p>
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</div>
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"""
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)
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gr.Markdown('''
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-
π Buy me a coffee if you like β₯ this project~ π
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[![Buy me a coffee](https://badgen.net/badge/icon/Buy%20Me%20A%20Coffee?icon=buymeacoffee&label)](https://www.buymeacoffee.com/dgspitzer)
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''')
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with gr.Row():
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with gr.Column():
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model = gr.Dropdown(label="Model", choices=models, value=models[0])
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prompt = gr.Textbox(label="Prompt", placeholder="{} is added automatically".format(prompt_prefixes[current_model]))
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guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
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steps = gr.Slider(label="Steps", value=27, maximum=100, minimum=2)
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run = gr.Button(value="Run")
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gr.Markdown(f"Running on: {device}")
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with gr.Column():
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image_out = gr.Image(height=512)
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model.change(on_model_change, inputs=model, outputs=[])
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run.click(inference, inputs=[prompt, guidance, steps], outputs=image_out)
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gr.Examples([
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["portrait of anime girl", 7.5, 27],
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["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],
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["cyberpunk city landscape with fancy car", 7.5, 27],
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["portrait of liu yifei girl, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7.5, 27],
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["portrait of a muscular beard male in dgs illustration style, half-body, holding robot arms, strong chest", 7.5, 27],
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], [prompt, guidance, steps], image_out,
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gr.Markdown('''
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Models and Space by [@DGSpitzer](https://huggingface.co/DGSpitzer)β€οΈ<br>
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[![Twitter Follow](https://img.shields.io/twitter/follow/DGSpitzer?label=%40DGSpitzer&style=social)](https://twitter.com/DGSpitzer)
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![visitors](https://visitor-badge.glitch.me/badge?page_id=dgspitzer_DGS_Diffusion_Space)
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![Model Views](https://visitor-badge.glitch.me/badge?page_id=Cyberpunk_Anime_Diffusion)
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from diffusers import StableDiffusionPipeline
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import gradio as gr
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import torch
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import os
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from share_btn import community_icon_html, loading_icon_html, share_js
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if torch.cuda.is_available():
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torchfloat = torch.float16
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else:
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torchfloat = torch.float32
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models = [
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"DGSpitzer/Cyberpunk-Anime-Diffusion"
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}
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current_model = models[0]
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auth_token = os.environ.get("adminToken") or True
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pipe = StableDiffusionPipeline.from_pretrained(current_model, use_auth_token=auth_token, torch_dtype=torchfloat, revision="fp16")
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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else:
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pipe = pipe.to("cpu")
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device = "GPU π₯" if torch.cuda.is_available() else "CPU π₯Ά"
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global pipe
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if model != current_model:
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current_model = model
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pipe = StableDiffusionPipeline.from_pretrained(current_model, torch_dtype=torchfloat)
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if torch.cuda.is_available():
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pipe = pipe.to("cuda")
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def inference(prompt, guidance, steps):
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prompt = prompt_prefixes[current_model] + prompt
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image = pipe(prompt, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images[0]
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return image, gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)
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def inference_example(prompt, guidance, steps):
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prompt = prompt_prefixes[current_model] + prompt
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image = pipe(prompt, num_inference_steps=int(steps), guidance_scale=guidance, width=512, height=512).images[0]
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return image
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css = """
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#col-container {max-width: 700px; margin-left: auto; margin-right: auto;}
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a {text-decoration-line: underline; font-weight: 600;}
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.animate-spin {
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animation: spin 1s linear infinite;
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}
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@keyframes spin {
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from {
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transform: rotate(0deg);
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}
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to {
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transform: rotate(360deg);
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}
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}
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#share-btn-container {
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display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem;
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}
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#share-btn {
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all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0;
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}
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#share-btn * {
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all: unset;
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}
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#share-btn-container div:nth-child(-n+2){
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width: auto !important;
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min-height: 0px !important;
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}
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#share-btn-container .wrap {
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display: none !important;
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}
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"""
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with gr.Blocks(css=css) as demo:
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 700px; margin: 0 auto;">
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</h1>
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</div>
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<p style="margin-bottom: 10px; font-size: 94%">
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Demo for Cyberpunk Anime Diffusion. Based of the projects by anzorq and fffiloni <a href="https://twitter.com/hahahahohohe">
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</p>
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</div>
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"""
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)
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gr.Markdown('''
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π Buy me a coffee if you like β₯ this project~ π Running this server costs me $100 per week, any help would be much appreciated!
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[![Buy me a coffee](https://badgen.net/badge/icon/Buy%20Me%20A%20Coffee?icon=buymeacoffee&label)](https://www.buymeacoffee.com/dgspitzer)
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''')
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with gr.Row():
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with gr.Column():
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model = gr.Dropdown(label="Model", choices=models, value=models[0])
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prompt = gr.Textbox(label="Prompt", placeholder="{} is added automatically".format(prompt_prefixes[current_model]), elem_id="input-prompt")
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guidance = gr.Slider(label="Guidance scale", value=7.5, maximum=15)
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steps = gr.Slider(label="Steps", value=27, maximum=100, minimum=2)
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run = gr.Button(value="Run")
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gr.Markdown(f"Running on: {device}")
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with gr.Column():
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image_out = gr.Image(height=512, type="filepath", elem_id="output-img")
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with gr.Column(elem_id="col-container"):
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with gr.Group(elem_id="share-btn-container"):
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community_icon = gr.HTML(community_icon_html, visible=False)
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loading_icon = gr.HTML(loading_icon_html, visible=False)
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share_button = gr.Button("Share to community", elem_id="share-btn", visible=False)
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model.change(on_model_change, inputs=model, outputs=[])
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run.click(inference, inputs=[prompt, guidance, steps], outputs=[image_out, share_button, community_icon, loading_icon])
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share_button.click(None, [], [], _js=share_js)
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gr.Examples([
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["portrait of anime girl", 7.5, 27],
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["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],
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["cyberpunk city landscape with fancy car", 7.5, 27],
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["portrait of liu yifei girl, soldier working in a cyberpunk city, cleavage, intricate, 8k, highly detailed, digital painting, intense, sharp focus", 7.5, 27],
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["portrait of a muscular beard male in dgs illustration style, half-body, holding robot arms, strong chest", 7.5, 27],
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], [prompt, guidance, steps], image_out, inference_example, cache_examples=torch.cuda.is_available())
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gr.Markdown('''
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Models and Space by [@DGSpitzer](https://huggingface.co/DGSpitzer)β€οΈ<br>
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[![Twitter Follow](https://img.shields.io/twitter/follow/DGSpitzer?label=%40DGSpitzer&style=social)](https://twitter.com/DGSpitzer)
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![visitors](https://visitor-badge.glitch.me/badge?page_id=dgspitzer_DGS_Diffusion_Space)
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![Model Views](https://visitor-badge.glitch.me/badge?page_id=Cyberpunk_Anime_Diffusion)
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