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Accelerator Fix and Local Image Load Support #10

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Accelerator Fix and Local Image Load Support #10

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72c2f43
wip
eren23 Jul 2, 2023
1de45e8
working dir bug
eren23 Jul 2, 2023
2b10ec7
image loader fix
eren23 Jul 19, 2023
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15 changes: 11 additions & 4 deletions finetune_instruct_pix2pix.py
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Original file line number Diff line number Diff line change
Expand Up @@ -434,9 +434,16 @@ def convert_to_np(image, resolution):
image = image.convert("RGB").resize((resolution, resolution))
return np.array(image).transpose(2, 0, 1)

def load_image(source):
if source.startswith('http'):
# Download image from URL
response = requests.get(source, stream=True)
response.raise_for_status()
image = PIL.Image.open(response.raw)
Comment on lines +438 to +442
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We can simply use load_image() from diffusers.utils for this.

else:
# Open image from local path
image = PIL.Image.open(source)

def download_image(url):
image = PIL.Image.open(requests.get(url, stream=True).raw)
image = PIL.ImageOps.exif_transpose(image)
image = image.convert("RGB")
return image
Expand All @@ -462,7 +469,7 @@ def main():
gradient_accumulation_steps=args.gradient_accumulation_steps,
mixed_precision=args.mixed_precision,
log_with=args.report_to,
logging_dir=logging_dir,
project_dir=logging_dir,
project_config=accelerator_project_config,
)

Expand Down Expand Up @@ -1075,7 +1082,7 @@ def collate_fn(examples):
pipeline.set_progress_bar_config(disable=True)

# run inference
original_image = download_image(args.val_image_url)
load_image(args.val_image_url)
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load_image() doesn't return anything and is neither a closure inside main() so, I am sure about the effectivity of this.

edited_images = []
with torch.autocast(
str(accelerator.device),
Expand Down