OPENGIT/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2025-04-25 14:28:59 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix the problem with infinite prompts where empty cond would be calculated incorrectly

Browse Source
This commit is contained in:
AUTOMATIC1111 2024-06-28 11:15:34 +03:00
parent 0b64633584
commit 179ae47d64
3 changed files with 10 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
modules/models/sd3/sd3_cond.py
View File

@ -177,6 +177,7 @@ class SD3Cond(torch.nn.Module):
self.weights_loaded = False
def forward(self, prompts: list[str]):
with devices.without_autocast():
lg_out, vector_out = self.model_lg(prompts)
token_count = lg_out.shape[1]

1
modules/models/sd3/sd3_model.py
View File

@ -47,7 +47,6 @@ class SD3Inferencer(torch.nn.Module):
return contextlib.nullcontext()
def get_learned_conditioning(self, batch: list[str]):
with devices.without_autocast():
return self.cond_stage_model(batch)
def apply_model(self, x, t, cond):

3
modules/sd_models.py
View File

@ -718,9 +718,8 @@ def get_empty_cond(sd_model):
p = processing.StableDiffusionProcessingTxt2Img()
extra_networks.activate(p, {})
if hasattr(sd_model, 'conditioner'):
if hasattr(sd_model, 'get_learned_conditioning'):
d = sd_model.get_learned_conditioning([""])
return d['crossattn']
else:
d = sd_model.cond_stage_model([""])