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CLIPVisionEncode can now encode multiple images.

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comfyanonymous 2023-08-14 16:54:05 -04:00
parent 0cb6dac943
commit 9cc12c833d
3 changed files with 12 additions and 12 deletions
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4
comfy/clip_vision.py
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@ -24,8 +24,8 @@ class ClipVisionModel():
return self.model.load_state_dict(sd, strict=False) return self.model.load_state_dict(sd, strict=False)
def encode_image(self, image): def encode_image(self, image):
img = torch.clip((255. * image[0]), 0, 255).round().int() img = torch.clip((255. * image), 0, 255).round().int()
inputs = self.processor(images=[img], return_tensors="pt") inputs = self.processor(images=img, return_tensors="pt")
outputs = self.model(**inputs) outputs = self.model(**inputs)
return outputs return outputs

2
comfy/model_base.py
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@ -120,7 +120,7 @@ class SD21UNCLIP(BaseModel):
weights = [] weights = []
noise_aug = [] noise_aug = []
for unclip_cond in unclip_conditioning: 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"] weight = unclip_cond["strength"]
noise_augment = unclip_cond["noise_augmentation"] noise_augment = unclip_cond["noise_augmentation"]
noise_level = round((self.noise_augmentor.max_noise_level - 1) * noise_augment) noise_level = round((self.noise_augmentor.max_noise_level - 1) * noise_augment)

2
nodes.py
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@ -771,7 +771,7 @@ class StyleModelApply:
CATEGORY = "conditioning/style_model" CATEGORY = "conditioning/style_model"
def apply_stylemodel(self, clip_vision_output, style_model, conditioning): 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 = [] c = []
for t in conditioning: for t in conditioning:
n = [torch.cat((t[0], cond), dim=1), t[1].copy()] n = [torch.cat((t[0], cond), dim=1), t[1].copy()]