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Guard cached_patcher_init when output_model is False

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load_checkpoint_guess_config_clip_only() calls load_checkpoint_guess_config() with output_model=False, leaving out[0] as None. The subsequent unconditional assignment of cached_patcher_init crashed with AttributeError, breaking CLIP-only checkpoint loading entirely. Guard the assignment with a None check.

Amp-Thread-ID: https://ampcode.com/threads/T-019e43b8-8258-70fd-ab3a-53e4c97f85d5
Co-authored-by: Amp <amp@ampcode.com>
This commit is contained in:
Jedrzej Kosinski 2026-05-20 16:46:31 -07:00
parent 50d1dd6273
commit 9a681ccfc9
1 changed files with 2 additions and 1 deletions
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comfy/sd.py
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@ -1688,7 +1688,8 @@ def load_checkpoint_guess_config(ckpt_path, output_vae=True, output_clip=True, o
out = load_state_dict_guess_config(sd, output_vae, output_clip, output_clipvision, embedding_directory, output_model, model_options, te_model_options=te_model_options, metadata=metadata, disable_dynamic=disable_dynamic) out = load_state_dict_guess_config(sd, output_vae, output_clip, output_clipvision, embedding_directory, output_model, model_options, te_model_options=te_model_options, metadata=metadata, disable_dynamic=disable_dynamic)
if out is None: if out is None:
raise RuntimeError("ERROR: Could not detect model type of: {}\n{}".format(ckpt_path, model_detection_error_hint(ckpt_path, sd))) raise RuntimeError("ERROR: Could not detect model type of: {}\n{}".format(ckpt_path, model_detection_error_hint(ckpt_path, sd)))
out[0].cached_patcher_init = (load_checkpoint_guess_config, (ckpt_path, False, False, False, embedding_directory, output_model, model_options, te_model_options), 0) if out[0] is not None:
out[0].cached_patcher_init = (load_checkpoint_guess_config, (ckpt_path, False, False, False, embedding_directory, output_model, model_options, te_model_options), 0)
return out return out
def load_checkpoint_guess_config_model_only(ckpt_path, embedding_directory=None, model_options={}, te_model_options={}, disable_dynamic=False): def load_checkpoint_guess_config_model_only(ckpt_path, embedding_directory=None, model_options={}, te_model_options={}, disable_dynamic=False):