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| from contextlib import nullcontext | |
| import gradio as gr | |
| import torch | |
| from torch import autocast | |
| from diffusers import StableDiffusionPipeline | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| context = autocast if device == "cuda" else nullcontext | |
| dtype = torch.float16 if device == "cuda" else torch.float32 | |
| pipe = StableDiffusionPipeline.from_pretrained("lambdalabs/sd-naruto-diffusers", torch_dtype=dtype) | |
| pipe = pipe.to(device) | |
| # Sometimes the nsfw checker is confused by the Naruto images, you can disable | |
| # it at your own risk here | |
| disable_safety = True | |
| if disable_safety: | |
| def null_safety(images, **kwargs): | |
| return images, False | |
| pipe.safety_checker = null_safety | |
| def infer(prompt, n_samples, steps, scale): | |
| with context("cuda"): | |
| images = pipe(n_samples*[prompt], guidance_scale=scale, num_inference_steps=steps).images | |
| return images | |
| css = """ | |
| a { | |
| color: inherit; | |
| text-decoration: underline; | |
| } | |
| .gradio-container { | |
| font-family: 'IBM Plex Sans', sans-serif; | |
| } | |
| .gr-button { | |
| color: white; | |
| border-color: #9d66e5; | |
| background: #9d66e5; | |
| } | |
| input[type='range'] { | |
| accent-color: #9d66e5; | |
| } | |
| .dark input[type='range'] { | |
| accent-color: #dfdfdf; | |
| } | |
| .container { | |
| max-width: 730px; | |
| margin: auto; | |
| padding-top: 1.5rem; | |
| } | |
| #gallery { | |
| min-height: 22rem; | |
| margin-bottom: 15px; | |
| margin-left: auto; | |
| margin-right: auto; | |
| border-bottom-right-radius: .5rem !important; | |
| border-bottom-left-radius: .5rem !important; | |
| } | |
| #gallery>div>.h-full { | |
| min-height: 20rem; | |
| } | |
| .details:hover { | |
| text-decoration: underline; | |
| } | |
| .gr-button { | |
| white-space: nowrap; | |
| } | |
| .gr-button:focus { | |
| border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
| outline: none; | |
| box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
| --tw-border-opacity: 1; | |
| --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
| --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
| --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
| --tw-ring-opacity: .5; | |
| } | |
| #advanced-options { | |
| margin-bottom: 20px; | |
| } | |
| .footer { | |
| margin-bottom: 45px; | |
| margin-top: 35px; | |
| text-align: center; | |
| border-bottom: 1px solid #e5e5e5; | |
| } | |
| .footer>p { | |
| font-size: .8rem; | |
| display: inline-block; | |
| padding: 0 10px; | |
| transform: translateY(10px); | |
| background: white; | |
| } | |
| .dark .logo{ filter: invert(1); } | |
| .dark .footer { | |
| border-color: #303030; | |
| } | |
| .dark .footer>p { | |
| background: #0b0f19; | |
| } | |
| .acknowledgments h4{ | |
| margin: 1.25em 0 .25em 0; | |
| font-weight: bold; | |
| font-size: 115%; | |
| } | |
| """ | |
| block = gr.Blocks(css=css) | |
| examples = [ | |
| [ | |
| 'Yoda', | |
| 2, | |
| 7.5, | |
| ], | |
| [ | |
| 'Abraham Lincoln', | |
| 2, | |
| 7.5, | |
| ], | |
| [ | |
| 'George Washington', | |
| 2, | |
| 7, | |
| ], | |
| ] | |
| with block: | |
| gr.HTML( | |
| """ | |
| <div style="text-align: center; max-width: 650px; margin: 0 auto;"> | |
| <div> | |
| <img class="logo" src="https://lambdalabs.com/static/images/lambda-logo.svg" alt="Lambda Logo" | |
| style="margin: auto; max-width: 7rem;"> | |
| <h1 style="font-weight: 900; font-size: 3rem;"> | |
| Naruto text to image | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%"> | |
| Generate new Naruto anime character from a text description, | |
| <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>. | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Group(): | |
| with gr.Box(): | |
| with gr.Row().style(mobile_collapse=False, equal_height=True): | |
| text = gr.Textbox( | |
| label="Enter your prompt", | |
| show_label=False, | |
| max_lines=1, | |
| placeholder="Enter your prompt", | |
| ).style( | |
| border=(True, False, True, True), | |
| rounded=(True, False, False, True), | |
| container=False, | |
| ) | |
| btn = gr.Button("Generate image").style( | |
| margin=False, | |
| rounded=(False, True, True, False), | |
| ) | |
| gallery = gr.Gallery( | |
| label="Generated images", show_label=False, elem_id="gallery" | |
| ).style(grid=[2], height="auto") | |
| with gr.Row(elem_id="advanced-options"): | |
| samples = gr.Slider(label="Images", minimum=1, maximum=4, value=2, step=1) | |
| steps = gr.Slider(label="Steps", minimum=5, maximum=50, value=25, step=5) | |
| scale = gr.Slider( | |
| label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1 | |
| ) | |
| ex = gr.Examples(examples=examples, fn=infer, inputs=[text, samples, scale], outputs=gallery, cache_examples=False) | |
| ex.dataset.headers = [""] | |
| text.submit(infer, inputs=[text, samples, steps, scale], outputs=gallery) | |
| btn.click(infer, inputs=[text, samples, steps, scale], outputs=gallery) | |
| gr.HTML( | |
| """ | |
| <div class="footer"> | |
| <p> Gradio Demo by 🤗 Hugging Face and Lambda Labs | |
| </p> | |
| </div> | |
| <div class="acknowledgments"> | |
| <p> Put in a text prompt and generate your own Naruto anime character! | |
| <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>. | |
| <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>! | |
| <p>Trained by Eole Cervenka at <a href="https://lambdalabs.com/">Lambda Labs</a>.</p> | |
| </div> | |
| """ | |
| ) | |
| block.launch() |