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[Conversion] Make sure ema weights are extracted correctly (#1937) 

* [Conversion] Make sure ema weights are extracted correctly

* up

* finish
This commit is contained in:
Patrick von Platen 2023-01-06 10:08:39 +04:00 committed by GitHub
parent 2533f92532
commit 409387889d
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1 changed files with 14 additions and 14 deletions
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scripts/convert_original_stable_diffusion_to_diffusers.py
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@ -315,9 +315,8 @@ def convert_ldm_unet_checkpoint(checkpoint, config, path=None, extract_ema=False
unet_key = "model.diffusion_model."
# at least a 100 parameters have to start with `model_ema` in order for the checkpoint to be EMA
if sum(k.startswith("model_ema") for k in keys) > 100:
if sum(k.startswith("model_ema") for k in keys) > 100 and extract_ema:
print(f"Checkpoint {path} has both EMA and non-EMA weights.")
if extract_ema:
print(
"In this conversion only the EMA weights are extracted. If you want to instead extract the non-EMA"
" weights (useful to continue fine-tuning), please make sure to remove the `--extract_ema` flag."
@ -327,6 +326,7 @@ def convert_ldm_unet_checkpoint(checkpoint, config, path=None, extract_ema=False
flat_ema_key = "model_ema." + "".join(key.split(".")[1:])
unet_state_dict[key.replace(unet_key, "")] = checkpoint.pop(flat_ema_key)
else:
if sum(k.startswith("model_ema") for k in keys) > 100:
print(
"In this conversion only the non-EMA weights are extracted. If you want to instead extract the EMA"
" weights (usually better for inference), please make sure to add the `--extract_ema` flag."