intel显卡ipadapter没问题，但是faceID报错

[cunkai]

用ip-plus作者提供的默认流 KolorsUNETLoaderV2 加载后在采样器绘制那步出现问题报错如下：

Error occurred when executing KSampler:

Input and gamma should be of the same datatype.

File "D:\Apps\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\Apps\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "D:\Apps\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\Apps\ComfyUI\nodes.py", line 1382, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\Apps\ComfyUI\nodes.py", line 1352, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\Apps\ComfyUI\comfy\sample.py", line 43, in sample
samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 829, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 600, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 299, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 682, in call
return self.predict_noise(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 685, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\Apps\ComfyUI\comfy\model_base.py", line 122, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\custom_nodes\ComfyUI-Kolors-MZ\hook_comfyui_kolors_v2.py", line 71, in forward
result = super().forward(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 38, in forward_timestep_embed
x = layer(x, emb)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 230, in forward
return checkpoint(
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\util.py", line 191, in checkpoint
return func(*inputs)
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 243, in _forward
h = self.in_layers(x)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\container.py", line 215, in forward
input = module(input)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ops.py", line 121, in forward
return super().forward(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\normalization.py", line 279, in forward
return F.group_norm(
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\functional.py", line 2558, in group_norm
return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)

如果用之前的Kolors UNET loader加载报错如下：

Error occurred when executing KSampler:

mat1 and mat2 shapes cannot be multiplied (512x4096 and 2048x640)

File "D:\Apps\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "D:\Apps\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "D:\Apps\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
File "D:\Apps\ComfyUI\nodes.py", line 1382, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "D:\Apps\ComfyUI\nodes.py", line 1352, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "D:\Apps\ComfyUI\comfy\sample.py", line 43, in sample
samples = sampler.sample(noise, positive, negative, cfg=cfg, latent_image=latent_image, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, denoise_mask=noise_mask, sigmas=sigmas, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 829, in sample
return sample(self.model, noise, positive, negative, cfg, self.device, sampler, sigmas, self.model_options, latent_image=latent_image, denoise_mask=denoise_mask, callback=callback, disable_pbar=disable_pbar, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 729, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 716, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 695, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 600, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, **self.extra_options)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, **extra_args)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 299, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 682, in call
return self.predict_noise(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 685, in predict_noise
return sampling_function(self.inner_model, x, timestep, self.conds.get("negative", None), self.conds.get("positive", None), self.cfg, model_options=model_options, seed=seed)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 279, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "D:\Apps\ComfyUI\comfy\samplers.py", line 228, in calc_cond_batch
output = model.apply_model(input_x, timestep_, **c).chunk(batch_chunks)
File "D:\Apps\ComfyUI\comfy\model_base.py", line 122, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float()
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 852, in forward
h = forward_timestep_embed(module, h, emb, context, transformer_options, time_context=time_context, num_video_frames=num_video_frames, image_only_indicator=image_only_indicator)
File "D:\Apps\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ldm\modules\attention.py", line 694, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ldm\modules\attention.py", line 616, in forward
context_attn2 = self.attn2.to_k(context_attn2)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\Apps\ComfyUI\comfy\ops.py", line 65, in forward
return super().forward(*args, **kwargs)
File "D:\Apps\AnaConda3\envs\ComfyUI\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
return F.linear(input, self.weight, self.bias)

[KINGLIFER]

curious how to use faceid the node in the examples says legacy.

[cunkai]

https://github.com/MinusZoneAI/ComfyUI-Kolors-MZ/blob/main/examples/workflow_ipa_faceid.png

https://github.com/cubiq/ComfyUI_IPAdapter_plus/blob/main/examples/IPAdapter_FaceIDv2_Kolors.json

[NineMeowICT]

+1