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Hotfix to handle latest transformers clip model missing key suddenly

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This commit is contained in:
Jaret Burkett
2023-08-02 12:26:18 -06:00
parent 1a25b275c8
commit 75ec5d9292
1 changed files with 7 additions and 0 deletions
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7
toolkit/kohya_model_util.py
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@@ -892,6 +892,9 @@ def convert_ldm_clip_checkpoint_v1(checkpoint):
for key in keys:
if key.startswith("cond_stage_model.transformer"):
text_model_dict[key[len("cond_stage_model.transformer."):]] = checkpoint[key]
# support checkpoint without position_ids (invalid checkpoint)
if "text_model.embeddings.position_ids" not in text_model_dict:
text_model_dict["text_model.embeddings.position_ids"] = torch.arange(77).unsqueeze(0) # 77 is the max length of the text
return text_model_dict
@@ -1257,6 +1260,10 @@ def load_models_from_stable_diffusion_checkpoint(v2, ckpt_path, device="cpu", dt
text_model = CLIPTextModel.from_pretrained("openai/clip-vit-large-patch14").to(device)
logging.set_verbosity_warning()
# latest transformers doesnt have position ids. Do we remove it?
if "text_model.embeddings.position_ids" not in text_model.state_dict():
del converted_text_encoder_checkpoint["text_model.embeddings.position_ids"]
info = text_model.load_state_dict(converted_text_encoder_checkpoint)
print("loading text encoder:", info)