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Running on Zero
Running on Zero
| from concurrent.futures import ThreadPoolExecutor | |
| import uuid | |
| import spaces | |
| import gradio as gr | |
| from PIL import Image | |
| import torch | |
| from compel import Compel, ReturnedEmbeddingsType | |
| from diffusers import DiffusionPipeline | |
| def save_image(img): | |
| unique_name = str(uuid.uuid4()) + '.png' | |
| img.save(unique_name) | |
| return unique_name | |
| def save_images(image_array): | |
| paths = [] | |
| with ThreadPoolExecutor() as executor: | |
| paths = list(executor.map(save_image, image_array)) | |
| return paths | |
| device = "cuda" if torch.cuda.is_available() else "cpu" | |
| pipe = DiffusionPipeline.from_pretrained( | |
| "amused/amused-512", | |
| variant="fp16", | |
| torch_dtype=torch.float16, | |
| ).to(device) | |
| compel = Compel(tokenizer=pipe.tokenizer, text_encoder=pipe.text_encoder, returned_embeddings_type=ReturnedEmbeddingsType.PENULTIMATE_HIDDEN_STATES_NON_NORMALIZED, requires_pooled=True, truncate_long_prompts=False) | |
| def infer(prompt, negative="", scale=10, progress=gr.Progress(track_tqdm=True)): | |
| print("Generating:") | |
| conditioning, pooled = compel(prompt) | |
| negative_conditioning, negative_pooled = compel(negative) | |
| conditioning, negative_conditioning = compel.pad_conditioning_tensors_to_same_length([conditioning, negative_conditioning]) | |
| images = pipe( | |
| prompt_embeds=pooled, | |
| encoder_hidden_states=conditioning, | |
| negative_prompt_embeds=negative_pooled, | |
| negative_encoder_hidden_states=negative_conditioning, | |
| guidance_scale=scale, | |
| num_images_per_prompt=4, | |
| temperature=(3, 1), | |
| ).images | |
| print("Done Generating!") | |
| print("Num Images:", len(images)) | |
| return images | |
| examples = [ | |
| [ | |
| 'A serious capybara at work, wearing a suit', | |
| None, | |
| None, | |
| ], | |
| [ | |
| 'A pikachu fine dining with a view to the Eiffel Tower', | |
| None, | |
| None, | |
| ], | |
| [ | |
| 'A mecha robot in a favela in expressionist style', | |
| None, | |
| None, | |
| ], | |
| [ | |
| 'an insect robot preparing a delicious meal', | |
| None, | |
| None, | |
| ], | |
| [ | |
| "A small cabin on top of a snowy mountain in the style of Disney, artstation", | |
| None, | |
| None, | |
| ], | |
| ] | |
| css = """ | |
| h1 { | |
| text-align: center; | |
| } | |
| #component-0 { | |
| max-width: 730px; | |
| margin: auto; | |
| } | |
| """ | |
| block = gr.Blocks(css=css) | |
| with block: | |
| gr.HTML( | |
| """ | |
| <div style="text-align: center; margin: 0 auto;"> | |
| <div | |
| style=" | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 0.8rem; | |
| font-size: 1.75rem; | |
| " | |
| > | |
| <svg | |
| width="0.65em" | |
| height="0.65em" | |
| viewBox="0 0 115 115" | |
| fill="none" | |
| xmlns="http://www.w3.org/2000/svg" | |
| > | |
| <rect width="23" height="23" fill="white"></rect> | |
| <rect y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="23" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="23" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="46" width="23" height="23" fill="white"></rect> | |
| <rect x="46" y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="69" width="23" height="23" fill="black"></rect> | |
| <rect x="69" y="69" width="23" height="23" fill="black"></rect> | |
| <rect x="92" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="92" y="69" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="115" y="46" width="23" height="23" fill="white"></rect> | |
| <rect x="115" y="115" width="23" height="23" fill="white"></rect> | |
| <rect x="115" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="92" y="46" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="92" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="92" y="69" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="46" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="115" width="23" height="23" fill="white"></rect> | |
| <rect x="69" y="69" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="46" y="46" width="23" height="23" fill="black"></rect> | |
| <rect x="46" y="115" width="23" height="23" fill="black"></rect> | |
| <rect x="46" y="69" width="23" height="23" fill="black"></rect> | |
| <rect x="23" y="46" width="23" height="23" fill="#D9D9D9"></rect> | |
| <rect x="23" y="115" width="23" height="23" fill="#AEAEAE"></rect> | |
| <rect x="23" y="69" width="23" height="23" fill="black"></rect> | |
| </svg> | |
| <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px"> | |
| aMUSEd: Efficient Text-to-Image Model | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;"> | |
| <a style="text-decoration: underline;" href="https://huggingface.co/amused/amused-512", target="_blank">aMUSEd</a> is an open-source, lightweight masked image model for text-to-image generation based on <a style="text-decoration: underline;" href="https://muse-model.github.io/", target="_blank">MUSE</a> focused on fast image generation. | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Group(): | |
| with gr.Row(elem_id="prompt-container"): | |
| with gr.Column(): | |
| text = gr.Textbox( | |
| label="Enter your prompt", | |
| show_label=False, | |
| max_lines=1, | |
| placeholder="Enter your prompt", | |
| container=False, | |
| ) | |
| negative = gr.Textbox( | |
| label="Enter your negative prompt", | |
| show_label=False, | |
| max_lines=1, | |
| placeholder="Enter your negative prompt", | |
| container=False, | |
| value="low quality, ugly, deformed" | |
| ) | |
| btn = gr.Button("Generate image", scale=0) | |
| gallery = gr.Gallery( | |
| label="Generated images", show_label=False, | |
| ) | |
| with gr.Accordion("Advanced settings", open=False): | |
| guidance_scale = gr.Slider( | |
| label="Guidance Scale", minimum=0, maximum=20, value=10, step=0.1 | |
| ) | |
| ex = gr.Examples(examples=examples, fn=infer, inputs=[text, negative, guidance_scale], outputs=gallery, cache_examples=False) | |
| # ex.dataset.headers = [""] | |
| text.submit(infer, inputs=[text, negative, guidance_scale], outputs=gallery) | |
| negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=gallery) | |
| btn.click(infer, inputs=[text, negative, guidance_scale], outputs=gallery) | |
| block.launch() |