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Running
on
Zero
File size: 4,375 Bytes
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import os
import argparse
from PIL import Image
import openai
from tenacity import retry, wait_exponential, stop_after_attempt, retry_if_exception_type
from utils import encode_image_to_datauri, cot_with_gpt, extract_instructions, infer_with_DiT, roi_localization, fusion
from src.flux.generate import generate, seed_everything
def main():
parser = argparse.ArgumentParser(description="Evaluate single image + instruction using GPT-4o")
parser.add_argument("image_path", help="Path to input image")
parser.add_argument("prompt", help="Original instruction")
parser.add_argument("--seed", type=int, default=3407, help="Random seed for reproducibility")
args = parser.parse_args()
seed_everything(args.seed)
openai.api_key = "YOUR_API_KEY"
if not openai.api_key:
raise ValueError("OPENAI_API_KEY environment variable not set.")
os.makedirs("results", exist_ok=True)
###########################################
### CoT -> instructions ###
###########################################
uri = encode_image_to_datauri(args.image_path)
categories, instructions = cot_with_gpt(uri, args.prompt)
print(categories)
print(instructions)
# categories = ['Move', 'Resize']
# instructions = ['Move the woman to the right', 'Minify the woman']
###########################################
### Neural Program Interpreter ###
###########################################
for i in range(len(categories)):
if i == 0:
image = args.image_path
else:
image = f"results/{i-1}.png"
category = categories[i]
instruction = instructions[i]
if category in ('Add', 'Remove', 'Replace', 'Action Change', 'Move', 'Resize'):
if category in ('Add', 'Remove', 'Replace'):
if category == 'Add':
edited_image = infer_with_DiT('RoI Editing', image, instruction, category)
else:
### RoI Localization
mask_image = roi_localization(image, instruction, category)
# mask_image.save("mask.png")
### RoI Inpainting
edited_image = infer_with_DiT('RoI Inpainting', mask_image, instruction, category)
elif category == 'Action Change':
### RoI Localization
mask_image = roi_localization(image, instruction, category)
### RoI Inpainting
edited_image = infer_with_DiT('RoI Inpainting', mask_image, instruction, 'Remove') # inpainted bg
### RoI Editing
changed_instance, x0, y1, scale = infer_with_DiT('RoI Editing', image, instruction, category) # action change
fusion_image = fusion(edited_image, changed_instance, x0, y1, scale)
### RoI Compositioning
edited_image = infer_with_DiT('RoI Compositioning', fusion_image, instruction, None)
elif category in ('Move', 'Resize'):
### RoI Localization
mask_image, changed_instance, x0, y1, scale = roi_localization(image, instruction, category)
### RoI Inpainting
edited_image= infer_with_DiT('RoI Inpainting', mask_image, instruction, 'Remove') # inpainted bg
# changed_instance, bottom_left, scale = layout_change(image, instruction) # move/resize
fusion_image = fusion(edited_image, changed_instance, x0, y1, scale)
fusion_image.save("fusion.png")
### RoI Compositioning
edited_image = infer_with_DiT('RoI Compositioning', fusion_image, instruction, None)
elif category in ('Appearance Change', 'Background Change', 'Color Change', 'Material Change', 'Expression Change'):
### RoI Editing
edited_image = infer_with_DiT('RoI Editing', image, instruction, category)
elif category in ('Tone Transfer', 'Style Change'):
### Global Transformation
edited_image = infer_with_DiT('Global Transformation', image, instruction, category)
else:
raise ValueError(f"Invalid category: '{category}'")
image = edited_image
image.save(f"results/{i}.png")
if __name__ == "__main__":
main()
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