298977887/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-01-25 15:55:18 +00:00
Code Issues Packages Projects Releases Wiki Activity

CLIPVisionEncode can now encode multiple images.

Browse Source
This commit is contained in:
comfyanonymous 2023-08-14 16:54:05 -04:00
parent 0cb6dac943
commit 9cc12c833d
3 changed files with 12 additions and 12 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
comfy/clip_vision.py
View File

@ -24,8 +24,8 @@ class ClipVisionModel():
return self.model.load_state_dict(sd, strict=False)
def encode_image(self, image):
img = torch.clip((255. * image[0]), 0, 255).round().int()
inputs = self.processor(images=[img], return_tensors="pt")
img = torch.clip((255. * image), 0, 255).round().int()
inputs = self.processor(images=img, return_tensors="pt")
outputs = self.model(**inputs)
return outputs

2
comfy/model_base.py
View File

@ -120,7 +120,7 @@ class SD21UNCLIP(BaseModel):
weights = []
noise_aug = []
for unclip_cond in unclip_conditioning:
adm_cond = unclip_cond["clip_vision_output"].image_embeds
for adm_cond in unclip_cond["clip_vision_output"].image_embeds:
weight = unclip_cond["strength"]
noise_augment = unclip_cond["noise_augmentation"]
noise_level = round((self.noise_augmentor.max_noise_level - 1) * noise_augment)

2
nodes.py
View File

@ -771,7 +771,7 @@ class StyleModelApply:
CATEGORY = "conditioning/style_model"
def apply_stylemodel(self, clip_vision_output, style_model, conditioning):
cond = style_model.get_cond(clip_vision_output)
cond = style_model.get_cond(clip_vision_output).flatten(start_dim=0, end_dim=1).unsqueeze(dim=0)
c = []
for t in conditioning:
n = [torch.cat((t[0], cond), dim=1), t[1].copy()]