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import subprocess | |
from PIL import Image | |
import gradio as gr | |
import os | |
import random | |
# First, running the inversion command to obtain the input noise that will reconstruct the image. | |
# It will save the inversion as output/test_cat/inversion/image-name.pt | |
# BLIP-generated caption prompt is saved as output/test_cat/prompt/image-name.txt - eg., a painting of a cat sitting on top of a ball | |
def inversion(image_in): #, progress=gr.Progress(track_tqdm=True)): | |
#progress(0, desc="Starting...") | |
seed = random.randint(0, 1000000) | |
img_name = f"input_image_{seed}.png" | |
img_label = f"input_image_{seed}" | |
# saving the input image | |
image_in.save(img_name) | |
#image_in.save("input_image.png") #("assets/test_images/cats/input_image.png") | |
# Run the script file | |
subprocess.run(["python", "src/inversion.py", "--input_image", f"input_image_{seed}.png", "--results_folder", "output/test_cat"]) | |
# Open the text file with blip caption | |
with open(f"output/test_cat/prompt/{img_label}.txt", "r") as file: | |
# Read the file | |
prompt = file.read() | |
return f"output/test_cat/inversion/{img_label}.pt", prompt, seed | |
# Performing image editing with the editing directions | |
# This will save the edited image as output/test_cat/edit/image-name.png | |
def image_edit(task_name, seed): #, progress=gr.Progress(track_tqdm=True)): | |
#progress(0, desc="Starting...") | |
seed = int(seed) | |
img_label = f"input_image_{seed}" | |
# Run the script file | |
subprocess.run(["python", "src/edit_real.py", "--inversion", f"output/test_cat/inversion/{img_label}.pt", | |
"--prompt", f"output/test_cat/prompt/{img_label}.txt", "--task_name", task_name, | |
"--results_folder", "output/test_cat/"]) | |
return f"output/test_cat/edit/{img_label}.png" | |
#Similarly, we can edit the synthetic images generated by Stable Diffusion with the following command. | |
def synthetic_image_edit(prompt, task_name): #, progress=gr.Progress(track_tqdm=True)): | |
#progress(0, desc="Starting...") | |
seed = random.randint(0, 1000000) | |
#img_name = f"./input_image_{seed}.png" | |
#img_label = f"./input_image_{seed}" | |
# Run the script file | |
subprocess.run(["python", "src/edit_synthetic.py", "--prompt_str", prompt, "--seed", str(seed), | |
"--task", task_name, "--results_folder", "output/synth_editing"]) | |
return f"output/synth_editing/reconstruction{seed}.png", f"output/synth_editing/edit{seed}.png" | |
def set_visible_true(): | |
return gr.update(visible=True) | |
def set_visible_False(): | |
return gr.update(visible=False) | |
#Gradio Blocks API | |
with gr.Blocks() as demo: | |
gr.HTML("""<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 - Zero-shot Image-to-Image Translation | |
</h1> | |
</div> | |
<p style="margin-bottom: 10px; font-size: 94%"> | |
This is an unofficial demo for <a href="https://pix2pixzero.github.io/" target="_blank">Pix2PixZero</a>. | |
Please visit their website and <a href="https://github.com/pix2pixzero/pix2pix-zero" target="_blank">github repo</a> for more details.<br> | |
If you encounter an error at any step, it can be due to Cuda Memory Error as multiple users are trying to access the app at same time. In such cases, it is suggested to start over with same/different image.</p></div>""") | |
gr.HTML("""<a href="https://huggingface.co/spaces/ysharma/pix2pix-zero-01?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate this Space and upgrade to a GPU for fast Inference & no queue<br>""") | |
direction_html = gr.HTML(value="<h4>👇Upload a Dog or a Cat image here to get started👇</h4>", visible=True) | |
refresh_direction_html = gr.HTML(value="<h4>👆Click the 'App' button to Refresh the space and try translation again with another Image</h4>", visible=False) | |
with gr.Row(): | |
image_in = gr.Image(type="pil", label="Start by uploading an image of a Cat or a Dog that you want to translate") | |
seed = gr.Number(visible=False, Precision=0) | |
#with gr.Box(): | |
# gr.Examples( examples=[os.path.join(os.path.dirname(__file__), "dog11.jpg"), os.path.join(os.path.dirname(__file__), "cat11.jpg")], | |
# inputs=image_in,) | |
# #fn=inversion,) | |
with gr.Column(): | |
btn_inversion = gr.Button("Get input noise and image caption",visible=False ) | |
with gr.Row(): | |
blip_prompt = gr.Textbox(visible=False) | |
inversion_file = gr.File(visible=False) | |
#task_name = gr.Textbox() | |
with gr.Row(): | |
image_out = gr.Image(visible=False, label="Translated Image output") | |
with gr.Column(): | |
task_name_radio = gr.Radio(choices = ["cat2dog", "dog2cat",], type="value", visible=False, label="Select a task that you want to accomplish") #, value="cat2dog"), | |
btn_imageedit = gr.Button(value="Translate the image!",visible=False) | |
html_tag = gr.HTML(value="""<h3 style="font-weight: 900; margin-bottom: 7px; margin-top: 5px;"> | |
🤩You can also Generate images with Stable Diffusion and 🚀Translate them on the fly🔥 (zero-shot) using Pix2PixZero. Try this below -</h3><br> | |
Example - type a prompt like 'A small cat sitting on a blue ball', select the task as 'cat->dog' in this case, and press the button.""", visible=False) | |
prompt_synth = gr.Textbox(visible=False, label="Type in a prompt to generate an Image using SD", placeholder="A small cat sitting on a blue ball") | |
btn_synth_image = gr.Button(value="Generate & Translate the SD image",visible=False) | |
with gr.Row(): | |
image_synth = gr.Image(visible=False, label="Synthetic image generated by Stable Diffusion on the fly") | |
image_synth_translated = gr.Image(visible=False, label="Translated synthetic image") | |
image_in.change(set_visible_False, [], direction_html) | |
btn_inversion.click(inversion,[image_in],[inversion_file, blip_prompt, seed]) | |
#btn_inversion.click(set_visible_true, [], task_name_radio) #inversion_file, blip_prompt, | |
btn_inversion.click(set_visible_False, [], btn_inversion) | |
inversion_file.change(set_visible_true, [], task_name_radio) #inversion_file, blip_prompt, | |
#task_initial_radio.change(set_visible_true, [], btn_imageedit) | |
task_name_radio.change(set_visible_true, [], btn_imageedit) | |
task_name_radio.change(set_visible_true, [], image_out) | |
#task_name_radio.change(set_visible_true, [], html_tag) | |
btn_imageedit.click(image_edit,[task_name_radio, seed],[image_out]) | |
btn_imageedit.click(set_visible_False, [], btn_imageedit) | |
btn_imageedit.click(set_visible_true, [], html_tag) | |
btn_imageedit.click(set_visible_true, [], prompt_synth) | |
btn_imageedit.click(set_visible_true, [], btn_synth_image) | |
btn_imageedit.click(set_visible_true, [], image_synth) | |
btn_imageedit.click(set_visible_true, [], image_synth_translated) | |
image_out.change(set_visible_true, [], refresh_direction_html) | |
btn_synth_image.click(synthetic_image_edit,[prompt_synth, task_name_radio],[image_synth, image_synth_translated]) | |
image_in.clear(set_visible_true, [], btn_inversion) | |
image_in.change(set_visible_true, [], btn_inversion) | |
image_in.change(set_visible_true, [], blip_prompt) | |
image_in.change(set_visible_true, [], inversion_file) | |
demo.queue(concurrency_count=8) | |
demo.launch(debug=True) |