implement dynamic clip saving (#13959)

Fix clip saving by doing the same patching process and diffusion
models.
This commit is contained in:
rattus
2026-05-19 04:46:40 +10:00
committed by GitHub
parent d4c6c9eff8
commit 16f862f02a
3 changed files with 28 additions and 14 deletions

View File

@@ -423,6 +423,13 @@ class CLIP:
sd_clip[k] = sd_tokenizer[k]
return sd_clip
def state_dict_for_saving(self):
sd_clip = self.patcher.model_state_dict_for_saving()
sd_tokenizer = self.tokenizer.state_dict()
for k in sd_tokenizer:
sd_clip[k] = sd_tokenizer[k]
return sd_clip
def load_model(self, tokens={}):
memory_used = 0
if hasattr(self.cond_stage_model, "memory_estimation_function"):
@@ -1908,7 +1915,7 @@ def save_checkpoint(output_path, model, clip=None, vae=None, clip_vision=None, m
load_models = [model]
if clip is not None:
load_models.append(clip.load_model())
clip_sd = clip.get_sd()
clip_sd = clip.state_dict_for_saving()
vae_sd = None
if vae is not None:
vae_sd = vae.get_sd()