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import os |
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import random |
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import uuid |
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import gradio as gr |
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import numpy as np |
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from PIL import Image |
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import spaces |
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import torch |
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from diffusers import ( |
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StableDiffusionXLPipeline, |
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StableDiffusionXLInpaintPipeline, |
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DPMSolverMultistepScheduler |
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) |
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DESCRIPTION = """ |
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# [Visionix Playground](https://huggingface.co/spaces/ehristoforu/Visionix-Playground) |
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""" |
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if not torch.cuda.is_available(): |
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DESCRIPTION += "\n<p>Running on CPU 🥶 This demo may not work on CPU.</p>" |
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MAX_SEED = np.iinfo(np.int32).max |
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USE_TORCH_COMPILE = 0 |
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ENABLE_CPU_OFFLOAD = 0 |
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") |
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pipe = StableDiffusionXLPipeline.from_pretrained( |
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"ehristoforu/Visionix-alpha", |
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torch_dtype=torch.float16, |
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use_safetensors=True, |
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) |
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pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config) |
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pipe.to('cuda') |
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pipe_inpaint = StableDiffusionXLInpaintPipeline.from_single_file( |
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"https://huggingface.co/ehristoforu/Visionix-alpha-inpainting/blob/main/Visionix-alpha-inpainting.safetensors", |
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torch_dtype=torch.float16, |
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use_safetensors=True, |
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) |
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pipe_inpaint.scheduler = DPMSolverMultistepScheduler.from_config(pipe_inpaint.scheduler.config) |
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pipe_inpaint.to('cuda') |
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def get_model(model): |
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if model == "Alpha inpaint": |
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return gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True) |
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else: |
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return gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(visible=False) |
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def save_image(img): |
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unique_name = str(uuid.uuid4()) + ".png" |
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img.save(unique_name) |
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return unique_name |
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def randomize_seed_fn(seed: int, randomize_seed: bool) -> int: |
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if randomize_seed: |
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seed = random.randint(0, MAX_SEED) |
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return seed |
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@spaces.GPU(durarion=50, enable_queue=True) |
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def generate( |
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model, |
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inpaint_image, |
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mask_image, |
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blur_factor, |
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strength, |
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prompt: str, |
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negative_prompt: str = "", |
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use_negative_prompt: bool = False, |
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seed: int = 0, |
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width: int = 1024, |
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height: int = 1024, |
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guidance_scale: float = 5.5, |
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randomize_seed: bool = False, |
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progress=gr.Progress(track_tqdm=True), |
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): |
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pipe.to(device) |
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seed = int(randomize_seed_fn(seed, randomize_seed)) |
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if not use_negative_prompt: |
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negative_prompt = "" |
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images = None |
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if model == "Alpha": |
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images = pipe( |
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prompt=prompt, |
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negative_prompt=f"{negative_prompt}", |
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width=width, |
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height=height, |
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guidance_scale=guidance_scale, |
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num_inference_steps=25, |
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num_images_per_prompt=1, |
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output_type="pil", |
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).images |
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elif model == "Alpha inpaint": |
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blurred_mask = pipe_inpaint.mask_processor.blur(mask_image, blur_factor=blur_factor) |
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images = pipe_inpaint( |
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prompt=prompt, |
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image=inpaint_image, |
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mask_image=blurred_mask, |
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negative_prompt=negative_prompt, |
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width=width, |
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height=height, |
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guidance_scale=guidance_scale, |
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num_inference_steps=25, |
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strength=strength, |
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num_images_per_prompt=1, |
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output_type="pil", |
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).images |
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image_paths = [save_image(img) for img in images] |
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print(image_paths) |
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return image_paths, seed |
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examples = [ |
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"neon holography crystal cat", |
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"a cat eating a piece of cheese", |
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"an astronaut riding a horse in space", |
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"a cartoon of a boy playing with a tiger", |
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"a cute robot artist painting on an easel, concept art", |
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"a close up of a woman wearing a transparent, prismatic, elaborate nemeses headdress, over the should pose, brown skin-tone" |
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] |
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css = ''' |
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.gradio-container{max-width: 560px !important} |
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h1{text-align:center} |
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footer { |
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visibility: hidden |
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} |
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''' |
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with gr.Blocks(title="Visionix Playground", css=css) as demo: |
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gr.Markdown(DESCRIPTION) |
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gr.DuplicateButton( |
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value="Duplicate Space for private use", |
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elem_id="duplicate-button", |
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visible=False, |
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) |
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with gr.Row(): |
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model = gr.Radio( |
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label="Model", |
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choices=["Alpha", "Alpha inpaint"], |
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value="Alpha", |
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interactive=True, |
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) |
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md_mask = gr.Markdown(""" |
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⚠️ To generate an inpaint mask, go [here](https://huggingface.co/spaces/ehristoforu/inpaint-mask-maker). |
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""", visible=False) |
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inpaint_image = gr.Image(label="Inpaint Image", interactive=True, scale=5, visible=False, type="pil") |
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mask_image = gr.Image(label="Mask Image", interactive=True, scale=5, visible=False, type="pil") |
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blur_factor = gr.Slider(label="Mask Blur Factor", minimum=0, maximum=100, value=4, step=1, interactive=True, visible=False) |
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strength = gr.Slider(label="Denoising Strength", minimum=0.00, maximum=1.00, value=0.70, step=0.01, interactive=True, visible=False) |
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with gr.Group(): |
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with gr.Row(): |
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prompt = gr.Text( |
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label="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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container=False, |
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) |
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run_button = gr.Button("Run", scale=0) |
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result = gr.Gallery(label="Result", columns=1, preview=True, show_label=False) |
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with gr.Accordion("Advanced options", open=False): |
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with gr.Row(): |
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use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True) |
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negative_prompt = gr.Text( |
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label="Negative prompt", |
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max_lines=8, |
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lines=6, |
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value="cartoon, 3D, disfigured, bad, art, deformed, extra limbs, weird, blurry, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn, hands, poorly drawn face, mutation, ugly, bad, anatomy, bad proportions, extra limbs, clone, clone-faced, cross proportions, missing arms, malformed limbs, missing legs, mutated, hands, fused fingers, too many fingers, photo shop, video game, ugly, tiling, cross-eye, mutation of eyes, long neck, bonnet, hat, beanie, cap, B&W", |
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placeholder="Enter a negative prompt", |
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visible=True, |
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) |
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seed = gr.Slider( |
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label="Seed", |
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minimum=0, |
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maximum=MAX_SEED, |
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step=1, |
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value=0, |
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visible=True |
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) |
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True) |
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with gr.Row(visible=True): |
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width = gr.Slider( |
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label="Width", |
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minimum=512, |
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maximum=2048, |
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step=8, |
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value=1024, |
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) |
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height = gr.Slider( |
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label="Height", |
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minimum=512, |
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maximum=2048, |
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step=8, |
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value=1024, |
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) |
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with gr.Row(): |
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guidance_scale = gr.Slider( |
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label="Guidance Scale", |
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minimum=0.1, |
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maximum=20, |
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step=0.1, |
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value=5.5, |
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) |
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gr.Examples( |
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examples=examples, |
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inputs=prompt, |
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outputs=[result, seed], |
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fn=generate, |
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cache_examples=False, |
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) |
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use_negative_prompt.change( |
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fn=lambda x: gr.update(visible=x), |
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inputs=use_negative_prompt, |
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outputs=negative_prompt, |
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api_name=False, |
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) |
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model.change( |
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fn=get_model, |
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inputs=model, |
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outputs=[md_mask, inpaint_image, mask_image, blur_factor, strength], |
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api_name=False, |
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) |
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gr.on( |
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triggers=[ |
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prompt.submit, |
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negative_prompt.submit, |
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run_button.click, |
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], |
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fn=generate, |
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inputs=[ |
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model, |
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inpaint_image, |
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mask_image, |
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blur_factor, |
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strength, |
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prompt, |
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negative_prompt, |
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use_negative_prompt, |
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seed, |
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width, |
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height, |
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guidance_scale, |
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randomize_seed, |
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], |
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outputs=[result, seed], |
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api_name="run", |
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) |
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if __name__ == "__main__": |
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demo.queue(max_size=20).launch(show_api=False, debug=False) |
