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Update patch_clip.py

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lllyasviel
2024-01-24 12:28:06 -08:00
parent fa82650c90
commit e0d35141bb
1 changed files with 0 additions and 41 deletions
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modules_forge/patch_clip.py
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@@ -22,46 +22,6 @@ from modules_forge.ops import use_patched_ops
from transformers import CLIPTextModel, CLIPTextConfig, modeling_utils, CLIPVisionConfig, CLIPVisionModelWithProjection from transformers import CLIPTextModel, CLIPTextConfig, modeling_utils, CLIPVisionConfig, CLIPVisionModelWithProjection
def patched_encode_token_weights(self, token_weight_pairs):
to_encode = list()
max_token_len = 0
has_weights = False
for x in token_weight_pairs:
tokens = list(map(lambda a: a[0], x))
max_token_len = max(len(tokens), max_token_len)
has_weights = has_weights or not all(map(lambda a: a[1] == 1.0, x))
to_encode.append(tokens)
sections = len(to_encode)
if has_weights or sections == 0:
to_encode.append(ldm_patched.modules.sd1_clip.gen_empty_tokens(self.special_tokens, max_token_len))
out, pooled = self.encode(to_encode)
if pooled is not None:
first_pooled = pooled[0:1].to(ldm_patched.modules.model_management.intermediate_device())
else:
first_pooled = pooled
output = []
for k in range(0, sections):
z = out[k:k + 1]
if has_weights:
original_mean = z.mean()
z_empty = out[-1]
for i in range(len(z)):
for j in range(len(z[i])):
weight = token_weight_pairs[k][j][1]
if weight != 1.0:
z[i][j] = (z[i][j] - z_empty[j]) * weight + z_empty[j]
new_mean = z.mean()
z = z * (original_mean / new_mean)
output.append(z)
if len(output) == 0:
return out[-1:].to(ldm_patched.modules.model_management.intermediate_device()), first_pooled
return torch.cat(output, dim=-2).to(ldm_patched.modules.model_management.intermediate_device()), first_pooled
def patched_SDClipModel__init__(self, max_length=77, freeze=True, layer="last", layer_idx=None, def patched_SDClipModel__init__(self, max_length=77, freeze=True, layer="last", layer_idx=None,
textmodel_json_config=None, dtype=None, special_tokens=None, textmodel_json_config=None, dtype=None, special_tokens=None,
layer_norm_hidden_state=True, **kwargs): layer_norm_hidden_state=True, **kwargs):
@@ -187,7 +147,6 @@ def patched_ClipVisionModel_encode_image(self, image):
def patch_all_clip(): def patch_all_clip():
ldm_patched.modules.sd1_clip.ClipTokenWeightEncoder.encode_token_weights = patched_encode_token_weights
ldm_patched.modules.sd1_clip.SDClipModel.__init__ = patched_SDClipModel__init__ ldm_patched.modules.sd1_clip.SDClipModel.__init__ = patched_SDClipModel__init__
ldm_patched.modules.sd1_clip.SDClipModel.forward = patched_SDClipModel_forward ldm_patched.modules.sd1_clip.SDClipModel.forward = patched_SDClipModel_forward
ldm_patched.modules.clip_vision.ClipVisionModel.__init__ = patched_ClipVisionModel__init__ ldm_patched.modules.clip_vision.ClipVisionModel.__init__ = patched_ClipVisionModel__init__