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back_convert_alt.py
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# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# From: https://github.com/d8ahazard/stable-diffusion-webui/blob/a658e0457c391def18880bcf958090f8d12de7e6/modules/dreambooth/conversion.py#L205
import argparse
import os.path as osp
import torch
from diffusers import StableDiffusionPipeline
KeyMap = {
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"model.diffusion_model.time_embed.0.bias": "time_embedding.linear_1.bias",
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"model.diffusion_model.time_embed.2.bias": "time_embedding.linear_2.bias",
"model.diffusion_model.input_blocks.0.0.weight": "conv_in.weight",
"model.diffusion_model.input_blocks.0.0.bias": "conv_in.bias",
"model.diffusion_model.out.0.weight": "conv_norm_out.weight",
"model.diffusion_model.out.0.bias": "conv_norm_out.bias",
"model.diffusion_model.out.2.weight": "conv_out.weight",
"model.diffusion_model.out.2.bias": "conv_out.bias",
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"model.diffusion_model.input_blocks.1.1.norm.weight": "down_blocks.0.attentions.0.norm.weight",
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}
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--model_path", default=None, type=str, required=True, help="Path to the model to convert.")
parser.add_argument("--src_path", default=None, type=str, required=True, help="Path to the original model.")
parser.add_argument("--checkpoint_path", default=None, type=str, required=True, help="Path to the output model.")
args = parser.parse_args()
assert args.model_path is not None, "Must provide a model path!"
assert args.checkpoint_path is not None, "Must provide a checkpoint path!"
assert args.src_path is not None, "Must provide a sourcecheckpoint path!"
diff_pipe = StableDiffusionPipeline.from_pretrained(args.model_path)
diff_pipe_unet_sd = diff_pipe.unet.state_dict()
org_model = torch.load(args.src_path)
org_sd = org_model["state_dict"] if "state_dict" in org_model else org_model
for ckpt_key, diff_key in KeyMap.items():
org_sd[ckpt_key] = diff_pipe_unet_sd[diff_key]
torch.save(org_model, args.checkpoint_path)