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Duplicate from lambdalabs/text-to-pokemon
Browse filesCo-authored-by: Justin Pinkney <justinpinkney@users.noreply.huggingface.co>
- .gitattributes +31 -0
- README.md +13 -0
- app.py +204 -0
- requirements.txt +7 -0
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README.md
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---
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title: Text to Pokémon
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emoji: 🌖
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colorFrom: purple
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colorTo: purple
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sdk: gradio
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sdk_version: 3.4
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app_file: app.py
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pinned: false
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duplicated_from: lambdalabs/text-to-pokemon
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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from contextlib import nullcontext
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import gradio as gr
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import torch
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from torch import autocast
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from diffusers import StableDiffusionPipeline
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device = "cuda" if torch.cuda.is_available() else "cpu"
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context = autocast if device == "cuda" else nullcontext
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dtype = torch.float16 if device == "cuda" else torch.float32
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pipe = StableDiffusionPipeline.from_pretrained("lambdalabs/sd-pokemon-diffusers", torch_dtype=dtype)
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pipe = pipe.to(device)
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# Sometimes the nsfw checker is confused by the Pokémon images, you can disable
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# it at your own risk here
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disable_safety = True
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if disable_safety:
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def null_safety(images, **kwargs):
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return images, False
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pipe.safety_checker = null_safety
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def infer(prompt, n_samples, steps, scale):
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with context("cuda"):
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images = pipe(n_samples*[prompt], guidance_scale=scale, num_inference_steps=steps).images
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return images
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css = """
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a {
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color: inherit;
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text-decoration: underline;
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}
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.gradio-container {
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font-family: 'IBM Plex Sans', sans-serif;
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}
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.gr-button {
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color: white;
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border-color: #9d66e5;
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background: #9d66e5;
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}
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input[type='range'] {
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accent-color: #9d66e5;
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}
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.dark input[type='range'] {
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accent-color: #dfdfdf;
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}
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.container {
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max-width: 730px;
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margin: auto;
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padding-top: 1.5rem;
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}
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#gallery {
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min-height: 22rem;
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margin-bottom: 15px;
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margin-left: auto;
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margin-right: auto;
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border-bottom-right-radius: .5rem !important;
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border-bottom-left-radius: .5rem !important;
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}
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#gallery>div>.h-full {
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min-height: 20rem;
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}
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.details:hover {
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text-decoration: underline;
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}
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.gr-button {
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white-space: nowrap;
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}
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.gr-button:focus {
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border-color: rgb(147 197 253 / var(--tw-border-opacity));
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outline: none;
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box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000);
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--tw-border-opacity: 1;
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--tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color);
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--tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color);
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--tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity));
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--tw-ring-opacity: .5;
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}
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#advanced-options {
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margin-bottom: 20px;
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}
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.footer {
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margin-bottom: 45px;
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margin-top: 35px;
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text-align: center;
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border-bottom: 1px solid #e5e5e5;
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}
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.footer>p {
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font-size: .8rem;
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display: inline-block;
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padding: 0 10px;
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transform: translateY(10px);
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background: white;
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}
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.dark .logo{ filter: invert(1); }
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.dark .footer {
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border-color: #303030;
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}
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.dark .footer>p {
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background: #0b0f19;
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}
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.acknowledgments h4{
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margin: 1.25em 0 .25em 0;
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font-weight: bold;
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font-size: 115%;
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}
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"""
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block = gr.Blocks(css=css)
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examples = [
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[
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'Yoda',
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2,
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7.5,
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],
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[
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'Abraham Lincoln',
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2,
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7.5,
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],
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[
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'George Washington',
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2,
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7,
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],
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]
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with block:
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 650px; margin: 0 auto;">
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<div>
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<img class="logo" src="https://lambdalabs.com/hubfs/logos/lambda-logo.svg" alt="Lambda Logo"
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style="margin: auto; max-width: 7rem;">
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<h1 style="font-weight: 900; font-size: 3rem;">
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Pokémon text to image
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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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Generate new Pokémon from a text description,
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<a href="https://lambdalabs.com/blog/how-to-fine-tune-stable-diffusion-how-we-made-the-text-to-pokemon-model-at-lambda/">created by Lambda Labs</a>.
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</p>
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</div>
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"""
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)
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with gr.Group():
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with gr.Box():
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with gr.Row().style(mobile_collapse=False, equal_height=True):
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text = gr.Textbox(
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label="Enter your prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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).style(
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border=(True, False, True, True),
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rounded=(True, False, False, True),
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container=False,
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)
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btn = gr.Button("Generate image").style(
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margin=False,
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rounded=(False, True, True, False),
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)
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gallery = gr.Gallery(
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label="Generated images", show_label=False, elem_id="gallery"
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).style(grid=[2], height="auto")
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with gr.Row(elem_id="advanced-options"):
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samples = gr.Slider(label="Images", minimum=1, maximum=4, value=2, step=1)
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steps = gr.Slider(label="Steps", minimum=5, maximum=50, value=25, step=5)
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scale = gr.Slider(
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label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
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)
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ex = gr.Examples(examples=examples, fn=infer, inputs=[text, samples, scale], outputs=gallery, cache_examples=False)
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ex.dataset.headers = [""]
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text.submit(infer, inputs=[text, samples, steps, scale], outputs=gallery)
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btn.click(infer, inputs=[text, samples, steps, scale], outputs=gallery)
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gr.HTML(
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"""
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<div class="footer">
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<p> Gradio Demo by 🤗 Hugging Face and Lambda Labs
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</p>
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</div>
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<div class="acknowledgments">
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<p> Put in a text prompt and generate your own Pokémon character, no "prompt engineering" required!
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<p>If you want to find out how we made this model read about it in <a href="https://lambdalabs.com/blog/how-to-fine-tune-stable-diffusion-how-we-made-the-text-to-pokemon-model-at-lambda/">this blog post</a>.
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<p>And if you want to train your own Stable Diffusion variants, see our <a href="https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning">Examples Repo</a>!
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<p>Trained by <a href="justinpinkney.com">Justin Pinkney</a> (<a href="https://twitter.com/Buntworthy">@Buntworthy</a>) at <a href="https://lambdalabs.com/">Lambda Labs</a>.</p>
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</div>
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"""
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)
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block.launch()
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requirements.txt
ADDED
@@ -0,0 +1,7 @@
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--extra-index-url https://download.pytorch.org/whl/cu113
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torch
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diffusers
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transformers
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scipy
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ftfy
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datasets
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