OPENGIT/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2024-12-28 10:25:05 +08:00
Code Issues Packages Projects Releases Wiki Activity

prevent accidental creation of CLIP models in float32 type when user wants float16

Browse Source
This commit is contained in:
AUTOMATIC1111 2024-06-16 11:04:19 +03:00
parent 7ee2114cd9
commit b443fdcf76
2 changed files with 4 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
modules/models/sd3/sd3_model.py
View File

@ -61,9 +61,9 @@ class SD3Cond(torch.nn.Module):
self.tokenizer = SD3Tokenizer()
with torch.no_grad():
self.clip_g = SDXLClipG(CLIPG_CONFIG, device="cpu", dtype=torch.float32)
self.clip_l = SDClipModel(layer="hidden", layer_idx=-2, device="cpu", dtype=torch.float32, layer_norm_hidden_state=False, return_projected_pooled=False, textmodel_json_config=CLIPL_CONFIG)
self.t5xxl = T5XXLModel(T5_CONFIG, device="cpu", dtype=torch.float32)
self.clip_g = SDXLClipG(CLIPG_CONFIG, device="cpu", dtype=devices.dtype)
self.clip_l = SDClipModel(layer="hidden", layer_idx=-2, device="cpu", dtype=devices.dtype, layer_norm_hidden_state=False, return_projected_pooled=False, textmodel_json_config=CLIPL_CONFIG)
self.t5xxl = T5XXLModel(T5_CONFIG, device="cpu", dtype=devices.dtype)
self.weights_loaded = False

1
modules/sd_models.py
View File

@ -406,6 +406,7 @@ def set_model_fields(model):
if not hasattr(model, 'latent_channels'):
model.latent_channels = 4
def load_model_weights(model, checkpoint_info: CheckpointInfo, state_dict, timer):
sd_model_hash = checkpoint_info.calculate_shorthash()
timer.record("calculate hash")