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shiimizu / ComfyUI_smZNodes

Custom nodes for ComfyUI such as CLIP Text Encode++
GNU General Public License v3.0
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Help resolve exceptions #86

Closed shenshu666 closed 3 weeks ago

shenshu666 commented 1 month ago

!!! Exception during processing!!! 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 Traceback (most recent call last): File "D:\app\ComfyUI-aki\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\app\ComfyUI-aki\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:\app\ComfyUI-aki\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI-Easy-Use\py\easyNodes.py", line 5252, in run return process_sample_state(pipe, samp_model, samp_clip, samp_samples, samp_vae, samp_seed, samp_positive, samp_negative, steps, start_step, last_step, cfg, sampler_name, scheduler, denoise, image_output, link_id, save_prefix, tile_size, prompt, extra_pnginfo, my_unique_id, preview_latent, force_full_denoise, disable_noise, samp_custom) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI-Easy-Use\py\easyNodes.py", line 5036, in process_sample_state samp_samples = sampler.common_ksampler(samp_model, samp_seed, steps, cfg, sampler_name, scheduler, samp_positive, samp_negative, samp_samples, denoise=denoise, preview_latent=preview_latent, start_step=start_step, last_step=last_step, force_full_denoise=force_full_denoise, disable_noise=disable_noise) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI-Easy-Use\py\libs\sampler.py", line 116, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, File "D:\app\ComfyUI-aki\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 "D:\app\ComfyUI-aki\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\sampling.py", line 92, in acn_sample return orig_comfy_sample(model, args, kwargs) File "D:\app\ComfyUI-aki\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 "D:\app\ComfyUI-aki\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:\app\ComfyUI-aki\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 1447, in KSampler_sample return _KSampler_sample(*args, *kwargs) File "D:\app\ComfyUI-aki\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:\app\ComfyUI-aki\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 1470, in sample return _sample(args, kwargs) File "D:\app\ComfyUI-aki\comfy\samplers.py", line 729, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\app\ComfyUI-aki\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:\app\ComfyUI-aki\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:\app\ComfyUI-aki\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:\app\ComfyUI-aki\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "D:\app\ComfyUI-aki\comfy\k_diffusion\sampling.py", line 143, in sample_euler denoised = model(x, sigma_hat s_in, extra_args) File "D:\app\ComfyUI-aki\comfy\samplers.py", line 299, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 993, in call return self.predict_noise(*args, kwargs) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 1043, in predict_noise out = super().predict_noise(args, kwargs) File "D:\app\ComfyUI-aki\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:\app\ComfyUI-aki\comfy\samplers.py", line 279, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "D:\app\ComfyUI-aki\comfy\samplers.py", line 228, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "D:\app\ComfyUI-aki\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 "D:\app\ComfyUI-aki\comfy\model_base.py", line 115, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, extra_conds).float() File "D:\app\ComfyUI-aki\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "D:\app\ComfyUI-aki\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "D:\app\ComfyUI-aki\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 "D:\app\ComfyUI-aki\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "D:\app\ComfyUI-aki\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "D:\app\ComfyUI-aki\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "D:\app\ComfyUI-aki\comfy\ldm\modules\attention.py", line 694, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "D:\app\ComfyUI-aki\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "D:\app\ComfyUI-aki\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "D:\app\ComfyUI-aki\comfy\ldm\modules\attention.py", line 618, in forward n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options) File "D:\app\ComfyUI-aki\custom_nodes\ComfyUI_IPAdapter_plus\CrossAttentionPatch.py", line 26, in call out = out + callback(out, q, k, v, extra_options, self.kwargs[i]) File "D:\app\ComfyUI-aki\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 "D:\app\ComfyUI-aki\comfy\ldm\modules\attention.py", line 380, in attention_xformers out = xformers.ops.memory_efficient_attention(q, k, v, attn_bias=mask) File "D:\app\ComfyUI-aki\python\lib\site-packages\xformers\ops\fmha__init.py", line 223, in memory_efficient_attention return _memory_efficient_attention( File "D:\app\ComfyUI-aki\python\lib\site-packages\xformers\ops\fmha__init__.py", line 321, in _memory_efficient_attention return _memory_efficient_attention_forward( File "D:\app\ComfyUI-aki\python\lib\site-packages\xformers\ops\fmha\init__.py", line 334, in _memory_efficient_attention_forward inp.validate_inputs() File "D:\app\ComfyUI-aki\python\lib\site-packages\xformers\ops\fmha\common.py", line 121, in validate_inputs raise ValueError( ValueError: 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

shiimizu commented 1 month ago

Looks like it’s related to ipadapter