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fix #1375

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This commit is contained in:
layerdiffusion
2024-08-21 11:01:59 -07:00
parent 4e3c78178a
commit 0d8eb4c5ba
1 changed files with 7 additions and 3 deletions
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10
backend/sampling/sampling_function.py
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@@ -340,14 +340,18 @@ def sampling_function(self, denoiser_params, cond_scale, cond_composition):
if image_cond_in.shape[0] == x.shape[0] \
and image_cond_in.shape[2] == x.shape[2] \
and image_cond_in.shape[3] == x.shape[3]:
for i in range(len(uncond)):
uncond[i]['model_conds']['c_concat'] = Condition(image_cond_in)
if uncond is not None:
for i in range(len(uncond)):
uncond[i]['model_conds']['c_concat'] = Condition(image_cond_in)
for i in range(len(cond)):
cond[i]['model_conds']['c_concat'] = Condition(image_cond_in)
if control is not None:
for h in cond + uncond:
for h in cond:
h['control'] = control
if uncond is not None:
for h in uncond:
h['control'] = control
for modifier in model_options.get('conditioning_modifiers', []):
model, x, timestep, uncond, cond, cond_scale, model_options, seed = modifier(model, x, timestep, uncond, cond, cond_scale, model_options, seed)