Query/Key/Value should either all have the same dtype, or (in the quantized case) Key/Value should have dtype torch.int32
query.dtype: torch.float16
key.dtype : torch.float32
value.dtype: torch.float32
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\execution.py", line 151, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\execution.py", line 81, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\execution.py", line 74, in map_node_over_list
results.append(getattr(obj, func)(slice_dict(input_data_all, i)))
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\nodes.py", line 1373, in sample
return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\nodes.py", line 1343, in common_ksampler
samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample
return original_sample(*args, *kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations.
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 410, in motion_sample
return orig_comfy_sample(model, noise, args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample
return orig_comfy_sample(model, *args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 112, in uncond_multiplier_check_cn_sample
return orig_comfy_sample(model, args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 801, 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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 703, in sample
return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 690, in sample
output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 669, in inner_sample
samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 574, in sample
samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m
denoised = model(x, sigmas[i] * s_in, extra_args)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 297, in call
out = self.inner_model(x, sigma, model_options=model_options, seed=seed)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 656, in call
return self.predict_noise(args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 659, 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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 277, in sampling_function
out = calc_cond_batch(model, conds, x, timestep, model_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 4, in calc_cond_batch
return calc_cond_batch_original_tiled_diffusion_24d37aa7(model, conds, x_in, timestep, model_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 226, in calc_cond_batch
output = model.apply_model(inputx, timestep, c).chunk(batch_chunks)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 64, in apply_model_uncond_cleanup_wrapper
return orig_apply_model(self, args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\model_base.py", line 114, in apply_model
model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float()
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, *kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\FreeU_Advanced\nodes.py", line 176, in tempforward
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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed
x = layer(x, context, transformer_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, *kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 694, in forward
x = block(x, context=context[i], transformer_options=transformer_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, kwargs)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-layerdiffuse\lib_layerdiffusion\attention_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward
return func(self, x, context, transformer_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 618, in forward
n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI_IPAdapter_plus\CrossAttentionPatch.py", line 26, in call
out = out + callback(out, q, k, v, extra_options, self.kwargs[i])
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI_IPAdapter_plus\CrossAttentionPatch.py", line 169, in ipadapter_attention
out_ip = optimized_attention(q, ip_k, ip_v, extra_options["n_heads"])
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 380, in attention_xformers
out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask)
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha__init.py", line 223, in memory_efficient_attention
return _memory_efficient_attention(
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha__init__.py", line 321, in _memory_efficient_attention
return _memory_efficient_attention_forward(
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha\init__.py", line 334, in _memory_efficient_attention_forward
inp.validate_inputs()
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha\common.py", line 121, in validate_inputs
raise ValueError(
Error occurred when executing KSampler:
Query/Key/Value should either all have the same dtype, or (in the quantized case) Key/Value should have dtype torch.int32 query.dtype: torch.float16 key.dtype : torch.float32 value.dtype: torch.float32
File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\nodes.py", line 1373, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\nodes.py", line 1343, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 9, in informative_sample return original_sample(*args, *kwargs) # This code helps interpret error messages that occur within exceptions but does not have any impact on other operations. File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 410, in motion_sample return orig_comfy_sample(model, noise, args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, *args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 112, in uncond_multiplier_check_cn_sample return orig_comfy_sample(model, args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 801, 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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 703, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 690, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 669, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 574, in sample samples = self.sampler_function(model_k, noise, sigmas, extra_args=extra_args, callback=k_callback, disable=disable_pbar, self.extra_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\k_diffusion\sampling.py", line 600, in sample_dpmpp_2m denoised = model(x, sigmas[i] * s_in, extra_args) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 297, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 656, in call return self.predict_noise(args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 659, 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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 277, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-TiledDiffusion.patches.py", line 4, in calc_cond_batch return calc_cond_batch_original_tiled_diffusion_24d37aa7(model, conds, x_in, timestep, model_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\samplers.py", line 226, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 64, in apply_model_uncond_cleanup_wrapper return orig_apply_model(self, args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\model_base.py", line 114, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\FreeU_Advanced\nodes.py", line 176, in tempforward 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 "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 694, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-layerdiffuse\lib_layerdiffusion\attention_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 618, in forward n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI_IPAdapter_plus\CrossAttentionPatch.py", line 26, in call out = out + callback(out, q, k, v, extra_options, self.kwargs[i]) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\custom_nodes\ComfyUI_IPAdapter_plus\CrossAttentionPatch.py", line 169, in ipadapter_attention out_ip = optimized_attention(q, ip_k, ip_v, extra_options["n_heads"]) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\comfy\ldm\modules\attention.py", line 380, in attention_xformers out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask) File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha__init.py", line 223, in memory_efficient_attention return _memory_efficient_attention( File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha__init__.py", line 321, in _memory_efficient_attention return _memory_efficient_attention_forward( File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha\init__.py", line 334, in _memory_efficient_attention_forward inp.validate_inputs() File "G:\sd-webui-aki\ComfyUI-aki\ComfyUI-aki-v1.3\python\lib\site-packages\xformers\ops\fmha\common.py", line 121, in validate_inputs raise ValueError(