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import gradio as gr |
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import os |
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import cv2 |
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import numpy as np |
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from moviepy.editor import * |
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from share_btn import community_icon_html, loading_icon_html, share_js |
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from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler |
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import torch |
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from PIL import Image |
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import time |
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import psutil |
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import random |
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is_shared_ui = True if "AIFILMS/Pix2Pix-Video" in os.environ['SPACE_ID'] else False |
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pipe = DiffusionPipeline.from_pretrained("timbrooks/instruct-pix2pix", torch_dtype=torch.float16, safety_checker=None) |
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config) |
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if(not is_shared_ui): |
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pipe.enable_xformers_memory_efficient_attention() |
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pipe.unet.to(memory_format=torch.channels_last) |
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device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶" |
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if torch.cuda.is_available(): |
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pipe = pipe.to("cuda") |
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def pix2pix( |
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prompt, |
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text_guidance_scale, |
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image_guidance_scale, |
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image, |
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steps, |
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neg_prompt="", |
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width=512, |
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height=512, |
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seed=0, |
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): |
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print(psutil.virtual_memory()) |
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if seed == 0: |
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seed = random.randint(0, 2147483647) |
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generator = torch.Generator("cuda").manual_seed(seed) |
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try: |
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image = Image.open(image) |
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ratio = min(height / image.height, width / image.width) |
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image = image.resize((int(image.width * ratio), int(image.height * ratio)), Image.LANCZOS) |
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result = pipe( |
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prompt, |
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negative_prompt=neg_prompt, |
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image=image, |
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num_inference_steps=int(steps), |
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image_guidance_scale=image_guidance_scale, |
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guidance_scale=text_guidance_scale, |
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generator=generator, |
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) |
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return result.images, result.nsfw_content_detected, seed |
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except Exception as e: |
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return None, None, error_str(e) |
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def error_str(error, title="Error"): |
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return ( |
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f"""#### {title} |
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{error}""" |
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if error |
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else "" |
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) |
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def get_frames(video_in): |
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frames = [] |
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clip = VideoFileClip(video_in) |
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if clip.fps > 30: |
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print("vide rate is over 30, resetting to 30") |
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clip_resized = clip.resize(height=512) |
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clip_resized.write_videofile("video_resized.mp4", fps=30) |
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else: |
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print("video rate is OK") |
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clip_resized = clip.resize(height=512) |
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clip_resized.write_videofile("video_resized.mp4", fps=clip.fps) |
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print("video resized to 512 height") |
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cap= cv2.VideoCapture("video_resized.mp4") |
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fps = cap.get(cv2.CAP_PROP_FPS) |
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print("video fps: " + str(fps)) |
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i=0 |
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while(cap.isOpened()): |
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ret, frame = cap.read() |
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if ret == False: |
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break |
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cv2.imwrite('kang'+str(i)+'.jpg',frame) |
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frames.append('kang'+str(i)+'.jpg') |
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i+=1 |
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cap.release() |
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cv2.destroyAllWindows() |
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print("broke the video into frames") |
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return frames, fps |
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def create_video(frames, fps): |
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print("building video result") |
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clip = ImageSequenceClip(frames, fps=fps) |
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clip.write_videofile("movie.mp4", fps=fps) |
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return 'movie.mp4' |
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def infer(prompt,video_in, seed_in, trim_value): |
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if(is_shared_ui): |
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raise gr.Error("This Space doesn't work on this shared UI.") |
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print(prompt) |
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break_vid = get_frames(video_in) |
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frames_list= break_vid[0] |
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fps = break_vid[1] |
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n_frame = int(trim_value*fps) |
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if n_frame >= len(frames_list): |
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print("video is shorter than the cut value") |
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n_frame = len(frames_list) |
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result_frames = [] |
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print("set stop frames to: " + str(n_frame)) |
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for i in frames_list[0:int(n_frame)]: |
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pix2pix_img = pix2pix(prompt,5.5,1.5,i,15,"",512,512,seed_in) |
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images = pix2pix_img[0] |
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rgb_im = images[0].convert("RGB") |
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rgb_im.save(f"result_img-{i}.jpg") |
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result_frames.append(f"result_img-{i}.jpg") |
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print("frame " + i + "/" + str(n_frame) + ": done;") |
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final_vid = create_video(result_frames, fps) |
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print("finished !") |
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return final_vid, gr.Group.update(visible=True) |
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title = """ |
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<div style="text-align: center; max-width: 700px; margin: 0 auto;"> |
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<div |
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style=" |
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display: inline-flex; |
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align-items: center; |
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gap: 0.8rem; |
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font-size: 1.75rem; |
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" |
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> |
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<h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;"> |
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Pix2Pix Video |
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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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Apply Instruct Pix2Pix Diffusion to a video |
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</p> |
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</div> |
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""" |
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article = """ |
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<div class="footer"> |
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<p> |
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Examples by <a href="https://twitter.com/CitizenPlain" target="_blank">Nathan Shipley</a> • |
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Follow <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a> for future updates 🤗 |
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</p> |
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</div> |
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<div id="may-like-container" style="display: flex;justify-content: center;flex-direction: column;align-items: center;margin-bottom: 30px;"> |
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<p>You may also like: </p> |
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<div id="may-like-content" style="display:flex;flex-wrap: wrap;align-items:center;height:20px;"> |
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<svg height="20" width="162" style="margin-left:4px;margin-bottom: 6px;"> |
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<a href="https://huggingface.co/spaces/timbrooks/instruct-pix2pix" target="_blank"> |
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<image href="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue" src="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue.png" height="20"/> |
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</a> |
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</svg> |
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</div> |
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</div> |
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""" |
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with gr.Blocks(css='style.css') as demo: |
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if(is_shared_ui): |
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with gr.Box(): |
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top_description = gr.HTML(f''' |
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<div class="gr-prose" style="max-width: 80%"> |
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<h2 style="margin-top: 0">Attention - This Space doesn't work in this shared UI</h2> |
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<p>For it to work, you can access the <a href="https://huggingface.co/spaces/fffiloni/Pix2Pix-Video">original</a> or duplicate this Space and run it on your own profile using a GPU. <a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/{os.environ['SPACE_ID']}?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></p> |
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</div> |
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''') |
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with gr.Column(elem_id="col-container"): |
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gr.HTML(title) |
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with gr.Row(): |
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with gr.Column(): |
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video_inp = gr.Video(label="Video source", source="upload", type="filepath", elem_id="input-vid") |
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prompt = gr.Textbox(label="Prompt", placeholder="enter prompt", show_label=False, elem_id="prompt-in") |
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with gr.Row(): |
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seed_inp = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, value=123456) |
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trim_in = gr.Slider(label="Cut video at (s)", minimun=1, maximum=3, step=1, value=1) |
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with gr.Column(): |
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video_out = gr.Video(label="Pix2pix video result", elem_id="video-output") |
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gr.HTML(""" |
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<a style="display:inline-block" href="https://huggingface.co/spaces/fffiloni/Pix2Pix-Video?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a> |
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work with longer videos / skip the queue: |
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""", elem_id="duplicate-container") |
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submit_btn = gr.Button("Generate Pix2Pix video") |
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with gr.Group(elem_id="share-btn-container", visible=False) as share_group: |
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community_icon = gr.HTML(community_icon_html) |
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loading_icon = gr.HTML(loading_icon_html) |
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share_button = gr.Button("Share to community", elem_id="share-btn") |
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inputs = [prompt,video_inp,seed_inp, trim_in] |
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outputs = [video_out, share_group] |
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ex = gr.Examples( |
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[ |
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["Make it a marble sculpture", "./examples/pexels-jill-burrow-7665249_512x512.mp4", 422112651, 4], |
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["Make it molten lava", "./examples/Ocean_Pexels_ 8953474_512x512.mp4", 43571876, 4] |
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], |
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inputs=inputs, |
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outputs=outputs, |
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fn=infer, |
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cache_examples=False, |
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) |
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gr.HTML(article) |
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submit_btn.click(infer, inputs, outputs) |
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share_button.click(None, [], [], _js=share_js) |
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demo.launch().queue(max_size=12) |
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