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style image mask #768

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style image mask #768

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242f62d
style image mask
t00350320 Dec 19, 2024
60452c2
style image mask
t00350320 Dec 27, 2024
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16 changes: 14 additions & 2 deletions IPAdapterPlus.py
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Original file line number Diff line number Diff line change
Expand Up @@ -213,6 +213,7 @@ def ipadapter_execute(model,
clipvision,
insightface=None,
image=None,
style_image_mask=None,
image_composition=None,
image_negative=None,
weight=1.0,
Expand Down Expand Up @@ -355,8 +356,17 @@ def ipadapter_execute(model,
image = torch.stack(image)
del image_iface, face

# style image mask
if style_image_mask is not None and style_image_mask.shape[1:3] != torch.Size([clipvision_size, clipvision_size]):
mask = style_image_mask.unsqueeze(1)
transforms = T.Compose([
T.CenterCrop(min(mask.shape[2], mask.shape[3])),
T.Resize((clipvision_size, clipvision_size), interpolation=T.InterpolationMode.BICUBIC, antialias=True),
])
style_image_mask = transforms(mask).squeeze(1)

if image is not None:
img_cond_embeds = encode_image_masked(clipvision, image, batch_size=encode_batch_size, tiles=enhance_tiles, ratio=enhance_ratio, clipvision_size=clipvision_size)
img_cond_embeds = encode_image_masked(clipvision, image, mask=style_image_mask, batch_size=encode_batch_size, tiles=enhance_tiles, ratio=enhance_ratio, clipvision_size=clipvision_size)
if image_composition is not None:
img_comp_cond_embeds = encode_image_masked(clipvision, image_composition, batch_size=encode_batch_size, tiles=enhance_tiles, ratio=enhance_ratio, clipvision_size=clipvision_size)

Expand Down Expand Up @@ -747,14 +757,15 @@ def INPUT_TYPES(s):
"image_negative": ("IMAGE",),
"attn_mask": ("MASK",),
"clip_vision": ("CLIP_VISION",),
"style_image_mask": ("MASK",),
}
}

RETURN_TYPES = ("MODEL",)
FUNCTION = "apply_ipadapter"
CATEGORY = "ipadapter"

def apply_ipadapter(self, model, ipadapter, start_at=0.0, end_at=1.0, weight=1.0, weight_style=1.0, weight_composition=1.0, expand_style=False, weight_type="linear", combine_embeds="concat", weight_faceidv2=None, image=None, image_style=None, image_composition=None, image_negative=None, clip_vision=None, attn_mask=None, insightface=None, embeds_scaling='V only', layer_weights=None, ipadapter_params=None, encode_batch_size=0, style_boost=None, composition_boost=None, enhance_tiles=1, enhance_ratio=1.0, weight_kolors=1.0):
def apply_ipadapter(self, model, ipadapter, start_at=0.0, end_at=1.0, weight=1.0, weight_style=1.0, weight_composition=1.0, expand_style=False, weight_type="linear", combine_embeds="concat", weight_faceidv2=None, image=None, style_image_mask=None, image_style=None, image_composition=None, image_negative=None, clip_vision=None, attn_mask=None, insightface=None, embeds_scaling='V only', layer_weights=None, ipadapter_params=None, encode_batch_size=0, style_boost=None, composition_boost=None, enhance_tiles=1, enhance_ratio=1.0, weight_kolors=1.0):
is_sdxl = isinstance(model.model, (comfy.model_base.SDXL, comfy.model_base.SDXLRefiner, comfy.model_base.SDXL_instructpix2pix))

if 'ipadapter' in ipadapter:
Expand Down Expand Up @@ -797,6 +808,7 @@ def apply_ipadapter(self, model, ipadapter, start_at=0.0, end_at=1.0, weight=1.0

ipa_args = {
"image": image[i],
"style_image_mask": style_image_mask if not isinstance(style_image_mask, list) else style_image_mask[i],
"image_composition": image_composition,
"image_negative": image_negative,
"weight": weight[i],
Expand Down