| import gradio as gr |
| import os |
| import cv2 |
| import numpy as np |
| from moviepy.editor import * |
| from share_btn import community_icon_html, loading_icon_html, share_js |
|
|
| from diffusers import DiffusionPipeline, EulerAncestralDiscreteScheduler |
| import torch |
| from PIL import Image |
| import time |
| import psutil |
| import random |
|
|
| is_shared_ui = True if "AIFILMS/Pix2Pix-Video" in os.environ['SPACE_ID'] else False |
|
|
| pipe = DiffusionPipeline.from_pretrained("timbrooks/instruct-pix2pix", torch_dtype=torch.float16, safety_checker=None) |
| pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config) |
| if(not is_shared_ui): |
| pipe.enable_xformers_memory_efficient_attention() |
| pipe.unet.to(memory_format=torch.channels_last) |
|
|
| device = "GPU 🔥" if torch.cuda.is_available() else "CPU 🥶" |
|
|
| if torch.cuda.is_available(): |
| pipe = pipe.to("cuda") |
|
|
| def pix2pix( |
| prompt, |
| text_guidance_scale, |
| image_guidance_scale, |
| image, |
| steps, |
| neg_prompt="", |
| width=512, |
| height=512, |
| seed=0, |
| ): |
| print(psutil.virtual_memory()) |
|
|
| if seed == 0: |
| seed = random.randint(0, 2147483647) |
|
|
| generator = torch.Generator("cuda").manual_seed(seed) |
|
|
| try: |
| image = Image.open(image) |
| ratio = min(height / image.height, width / image.width) |
| image = image.resize((int(image.width * ratio), int(image.height * ratio)), Image.LANCZOS) |
|
|
| result = pipe( |
| prompt, |
| negative_prompt=neg_prompt, |
| image=image, |
| num_inference_steps=int(steps), |
| image_guidance_scale=image_guidance_scale, |
| guidance_scale=text_guidance_scale, |
| generator=generator, |
| ) |
|
|
| |
| return result.images, result.nsfw_content_detected, seed |
| except Exception as e: |
| return None, None, error_str(e) |
|
|
| def error_str(error, title="Error"): |
| return ( |
| f"""#### {title} |
| {error}""" |
| if error |
| else "" |
| ) |
|
|
| def get_frames(video_in): |
| frames = [] |
| |
| clip = VideoFileClip(video_in) |
| |
| |
| if clip.fps > 30: |
| print("vide rate is over 30, resetting to 30") |
| clip_resized = clip.resize(height=512) |
| clip_resized.write_videofile("video_resized.mp4", fps=30) |
| else: |
| print("video rate is OK") |
| clip_resized = clip.resize(height=512) |
| clip_resized.write_videofile("video_resized.mp4", fps=clip.fps) |
| |
| print("video resized to 512 height") |
| |
| |
| cap= cv2.VideoCapture("video_resized.mp4") |
| |
| fps = cap.get(cv2.CAP_PROP_FPS) |
| print("video fps: " + str(fps)) |
| i=0 |
| while(cap.isOpened()): |
| ret, frame = cap.read() |
| if ret == False: |
| break |
| cv2.imwrite('kang'+str(i)+'.jpg',frame) |
| frames.append('kang'+str(i)+'.jpg') |
| i+=1 |
| |
| cap.release() |
| cv2.destroyAllWindows() |
| print("broke the video into frames") |
| |
| return frames, fps |
|
|
|
|
| def create_video(frames, fps): |
| print("building video result") |
| clip = ImageSequenceClip(frames, fps=fps) |
| clip.write_videofile("movie.mp4", fps=fps) |
| |
| return 'movie.mp4' |
|
|
|
|
| def infer(prompt,video_in, seed_in, trim_value): |
| if(is_shared_ui): |
| raise gr.Error("This Space doesn't work on this shared UI.") |
| print(prompt) |
| break_vid = get_frames(video_in) |
| |
| frames_list= break_vid[0] |
| fps = break_vid[1] |
| n_frame = int(trim_value*fps) |
| |
| if n_frame >= len(frames_list): |
| print("video is shorter than the cut value") |
| n_frame = len(frames_list) |
| |
| result_frames = [] |
| print("set stop frames to: " + str(n_frame)) |
| |
| for i in frames_list[0:int(n_frame)]: |
| pix2pix_img = pix2pix(prompt,5.5,1.5,i,15,"",512,512,seed_in) |
| images = pix2pix_img[0] |
| rgb_im = images[0].convert("RGB") |
| |
| |
| rgb_im.save(f"result_img-{i}.jpg") |
| result_frames.append(f"result_img-{i}.jpg") |
| print("frame " + i + "/" + str(n_frame) + ": done;") |
|
|
| final_vid = create_video(result_frames, fps) |
| print("finished !") |
| |
| return final_vid, gr.Group.update(visible=True) |
|
|
| title = """ |
| <div style="text-align: center; max-width: 700px; margin: 0 auto;"> |
| <div |
| style=" |
| display: inline-flex; |
| align-items: center; |
| gap: 0.8rem; |
| font-size: 1.75rem; |
| " |
| > |
| <h1 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;"> |
| Pix2Pix Video |
| </h1> |
| </div> |
| <p style="margin-bottom: 10px; font-size: 94%"> |
| Apply Instruct Pix2Pix Diffusion to a video |
| </p> |
| </div> |
| """ |
|
|
| article = """ |
| |
| <div class="footer"> |
| <p> |
| Examples by <a href="https://twitter.com/CitizenPlain" target="_blank">Nathan Shipley</a> • |
| Follow <a href="https://twitter.com/fffiloni" target="_blank">Sylvain Filoni</a> for future updates 🤗 |
| </p> |
| </div> |
| <div id="may-like-container" style="display: flex;justify-content: center;flex-direction: column;align-items: center;margin-bottom: 30px;"> |
| <p>You may also like: </p> |
| <div id="may-like-content" style="display:flex;flex-wrap: wrap;align-items:center;height:20px;"> |
| |
| <svg height="20" width="162" style="margin-left:4px;margin-bottom: 6px;"> |
| <a href="https://huggingface.co/spaces/timbrooks/instruct-pix2pix" target="_blank"> |
| <image href="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue" src="https://img.shields.io/badge/🤗 Spaces-Instruct_Pix2Pix-blue.png" height="20"/> |
| </a> |
| </svg> |
| |
| </div> |
| |
| </div> |
| |
| """ |
|
|
| with gr.Blocks(css='style.css') as demo: |
| if(is_shared_ui): |
| with gr.Box(): |
| top_description = gr.HTML(f''' |
| <div class="gr-prose" style="max-width: 80%"> |
| <h2 style="margin-top: 0">Attention - This Space doesn't work in this shared UI</h2> |
| <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> |
| </div> |
| ''') |
| with gr.Column(elem_id="col-container"): |
| gr.HTML(title) |
| with gr.Row(): |
| with gr.Column(): |
| video_inp = gr.Video(label="Video source", source="upload", type="filepath", elem_id="input-vid") |
| prompt = gr.Textbox(label="Prompt", placeholder="enter prompt", show_label=False, elem_id="prompt-in") |
| with gr.Row(): |
| seed_inp = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, value=123456) |
| trim_in = gr.Slider(label="Cut video at (s)", minimun=1, maximum=3, step=1, value=1) |
| with gr.Column(): |
| video_out = gr.Video(label="Pix2pix video result", elem_id="video-output") |
| gr.HTML(""" |
| <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> |
| work with longer videos / skip the queue: |
| """, elem_id="duplicate-container") |
| submit_btn = gr.Button("Generate Pix2Pix video") |
|
|
| with gr.Group(elem_id="share-btn-container", visible=False) as share_group: |
| community_icon = gr.HTML(community_icon_html) |
| loading_icon = gr.HTML(loading_icon_html) |
| share_button = gr.Button("Share to community", elem_id="share-btn") |
| |
| inputs = [prompt,video_inp,seed_inp, trim_in] |
| outputs = [video_out, share_group] |
| |
| ex = gr.Examples( |
| [ |
| ["Make it a marble sculpture", "./examples/pexels-jill-burrow-7665249_512x512.mp4", 422112651, 4], |
| ["Make it molten lava", "./examples/Ocean_Pexels_ 8953474_512x512.mp4", 43571876, 4] |
| ], |
| inputs=inputs, |
| outputs=outputs, |
| fn=infer, |
| cache_examples=False, |
| ) |
| |
| gr.HTML(article) |
| |
| submit_btn.click(infer, inputs, outputs) |
| share_button.click(None, [], [], _js=share_js) |
|
|
| |
| |
| demo.launch().queue(max_size=12) |
|
|
