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sd_dpo.py
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sd_dpo.py
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from diffusers import StableDiffusionPipeline, UNet2DConditionModel
import torch
import argparse
from sd_ext.sd import setup_sd_generator, sd_arguments
def main(args):
# load pipeline
generator = setup_sd_generator(args)
# model_id = "runwayml/stable-diffusion-v1-5"
# pipe = StableDiffusionPipeline.from_pretrained(
# model_id, torch_dtype=torch.float16
# )
# load finetuned model
unet_id = "mhdang/dpo-sd1.5-text2image-v1"
unet = UNet2DConditionModel.from_pretrained(
unet_id, subfolder="unet", torch_dtype=torch.float16
)
unet.to(args.device)
generator.pipeline.unet = unet
# pipe = generator.pipe.to("cuda")
# prompt = "Two cats playing chess on a tree branch"
prompt = args.prompt
images = generator.pipe(prompt, guidance_scale=7.5).images
for i, image in enumerate(images):
image.save(f"{prompt}_{i}.png")
if __name__ == "__main__":
argparser = argparse.ArgumentParser()
argparser.add_argument("--prompt", help="Prompt")
argparser = sd_arguments(argparser)
args = argparser.parse_args()
main(args)