hopefully found the right combination for dtype
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+5
-6
@@ -411,8 +411,7 @@ class IPAdapterApply:
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CATEGORY = "ipadapter"
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def apply_ipadapter(self, ipadapter, model, weight, clip_vision=None, image=None, weight_type="original", noise=None, embeds=None, attn_mask=None, start_at=0.0, end_at=1.0, unfold_batch=False):
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self.dtype = model.model.diffusion_model.dtype
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self.embeds_dtype = comfy.model_management.text_encoder_dtype(comfy.model_management.text_encoder_device()) # text and image embeds should have the same dtype
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self.dtype = torch.float16 if comfy.model_management.should_use_fp16() else torch.float32
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self.device = comfy.model_management.get_torch_device()
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self.weight = weight
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self.is_full = "proj.0.weight" in ipadapter["image_proj"]
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@@ -460,11 +459,11 @@ class IPAdapterApply:
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is_full=self.is_full,
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)
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self.ipadapter.to(self.device, dtype=self.embeds_dtype)
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self.ipadapter.to(self.device, dtype=self.dtype)
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image_prompt_embeds, uncond_image_prompt_embeds = self.ipadapter.get_image_embeds(clip_embed.to(self.device, dtype=self.embeds_dtype), clip_embed_zeroed.to(self.device, dtype=self.embeds_dtype))
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image_prompt_embeds = image_prompt_embeds.to(self.device, dtype=self.embeds_dtype)
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uncond_image_prompt_embeds = uncond_image_prompt_embeds.to(self.device, dtype=self.embeds_dtype)
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image_prompt_embeds, uncond_image_prompt_embeds = self.ipadapter.get_image_embeds(clip_embed.to(self.device, dtype=self.dtype), clip_embed_zeroed.to(self.device, dtype=self.dtype))
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image_prompt_embeds = image_prompt_embeds.to(self.device, dtype=self.dtype)
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uncond_image_prompt_embeds = uncond_image_prompt_embeds.to(self.device, dtype=self.dtype)
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work_model = model.clone()
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