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import os
from io import BytesIO
import gradio as gr
import grpc
from PIL import Image
from cachetools import LRUCache
import hashlib
from protos.inference_pb2 import GuideAndRescaleRequest, GuideAndRescaleResponse
from protos.inference_pb2_grpc import GuideAndRescaleServiceStub
def get_bytes(img):
if img is None:
return img
buffered = BytesIO()
img.save(buffered, format="JPEG")
return buffered.getvalue()
def bytes_to_image(image: bytes) -> Image.Image:
image = Image.open(BytesIO(image))
return image
def resize(img):
if img.size != (512, 512):
img = img.resize((512, 512), Image.Resampling.LANCZOS)
return img
def edit(image, source_prompt, target_prompt, config, progress=gr.Progress(track_tqdm=True)):
if not image or not source_prompt or not target_prompt:
raise ValueError("Need to upload an image and enter init and edit prompts")
image_bytes = get_bytes(image)
os.environ['SERVER'] = "0.0.0.0:50052"
with grpc.insecure_channel(os.environ['SERVER']) as channel:
stub = GuideAndRescaleServiceStub(channel)
output: GuideAndRescaleResponse = stub.swap(
GuideAndRescaleRequest(image=image_bytes, source_prompt=source_prompt, target_prompt=target_prompt,
config=config, use_cache=True)
)
output = bytes_to_image(output.image)
return output
def get_demo():
with gr.Blocks() as demo:
gr.Markdown("## Guide-and-Rescale")
gr.Markdown(
'<div style="display: flex; align-items: center; gap: 10px;">'
'<span>Official Guide-and-Rescale Gradio demo:</span>'
'<a href="https://github.com/AIRI-Institute/Guide-and-Rescale"><img src="https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white" height=22.5></a>'
'<a href="https://colab.research.google.com/drive/1noKOOcDBBL_m5_UqU15jBBqiM8piLZ1O?usp=sharing"><img src="https://colab.research.google.com/assets/colab-badge.svg" height=22.5></a>'
'</div>'
)
with gr.Row():
with gr.Column():
with gr.Row():
image = gr.Image(label="Image that you want to edit", type="pil")
with gr.Row():
source_prompt = gr.Textbox(label="Init Prompt", info="Describs the content on the original image.")
target_prompt = gr.Textbox(label="Edit Prompt", info="Describs what is expected in the output image.")
config = gr.Radio(["non-stylisation", "stylisation"], value='non-stylisation',
label="Type of Editing", info="Selects a config for editing.")
with gr.Row():
btn = gr.Button("Edit image")
with gr.Column():
with gr.Row():
output = gr.Image(label="Result: edited image")
gr.Examples(examples=[["input/1.png", 'A photo of a tiger', 'A photo of a lion', 'non-stylisation'], ["input/zebra.jpeg", 'A photo of a zebra', 'A photo of a white horse', 'non-stylisation'], ["input/13.png", 'A photo', 'Anime style face', 'stylisation']], inputs=[image, source_prompt, target_prompt, config],
outputs=output)
image.upload(fn=resize, inputs=[image], outputs=image)
btn.click(fn=edit, inputs=[image, source_prompt, target_prompt, config], outputs=output)
gr.Markdown('''To cite the paper by the authors
```
TODO: add cite
```
''')
return demo
if __name__ == '__main__':
align_cache = LRUCache(maxsize=10)
demo = get_demo()
demo.launch(server_name="0.0.0.0", server_port=7860)
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