img=pillow(ImageOps.exif_transpose,img) ifimg.mode=="I": img=img.point(lambdai:i*(1/255)) image=img.convert("RGB") image=np.array(image).astype(np.float32)/255.0 image=torch.from_numpy(image)[None,] if"A"inimg.getbands(): ...
main .github examples models .gitignore CrossAttentionPatch.py IPAdapterPlus.py LICENSE NODES.md README.md __init__.py image_proj_models.py utils.py Breadcrumbs ComfyUI_IPAdapter_plus / Latest commit Cannot retrieve latest commit at this time. ...
transpose(-2, -1) # More stable with f16 than dividing afterwards weight = torch.softmax(weight.float(), dim=-1).type(weight.dtype) out = weight @ v out = out.permute(0, 2, 1, 3).reshape(b, l, -1) return self.to_out(out) ...