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if-ai / ComfyUI-IF_AI_tools

ComfyUI-IF_AI_tools is a set of custom nodes for ComfyUI that allows you to generate prompts using a local Large Language Model (LLM) via Ollama. This tool enables you to enhance your image generation workflow by leveraging the power of language models.
https://ko-fi.com/impactframes
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Error using sample workflow #68

Closed alex13by closed 3 months ago

alex13by commented 3 months ago

Sampling error after node "omost layout cond(omostdensediffusion)" :

Requested to load SDXL Loading 1 new model Requested to load SDXL Loading 1 new model !!! Exception during processing!!! The expanded size of the tensor (2304) must match the existing size (2256) at non-singleton dimension 2. Target sizes: [1, 10, 2304, 1309]. Tensor sizes: [1, 10, 2256, 1309] Traceback (most recent call last): File "D:\AI\ComfyUI-aki-v1\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\AI\ComfyUI-aki-v1\execution.py", line 81, in get_output_data return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True) File "D:\AI\ComfyUI-aki-v1\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(slice_dict(input_data_all, i))) File "D:\AI\ComfyUI-aki-v1\nodes.py", line 1373, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\AI\ComfyUI-aki-v1\nodes.py", line 1343, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-Impact-Pack\modules\impact\sample_error_enhancer.py", line 22, in informative_sample raise e File "D:\AI\ComfyUI-aki-v1\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:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-AnimateLCM\animatediff\sampling.py", line 241, in motion_sample return orig_comfy_sample(model, noise, args, kwargs) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 410, in motion_sample return orig_comfy_sample(model, noise, *args, kwargs) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, *args, *kwargs) File "D:\AI\ComfyUI-aki-v1\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:\AI\ComfyUI-aki-v1\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:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 1447, in KSampler_sample return _KSampler_sample(*args, kwargs) File "D:\AI\ComfyUI-aki-v1\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 "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 1470, in sample return _sample(args, kwargs) File "D:\AI\ComfyUI-aki-v1\comfy\samplers.py", line 703, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\AI\ComfyUI-aki-v1\comfy\samplers.py", line 690, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\AI\ComfyUI-aki-v1\comfy\samplers.py", line 669, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\AI\ComfyUI-aki-v1\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 "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "D:\AI\ComfyUI-aki-v1\comfy\k_diffusion\sampling.py", line 732, in sample_dpmpp_2m_sde_gpu return sample_dpmpp_2m_sde(model, x, sigmas, extra_args=extra_args, callback=callback, disable=disable, eta=eta, s_noise=s_noise, noise_sampler=noise_sampler, solver_type=solver_type) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(*args, kwargs) File "D:\AI\ComfyUI-aki-v1\comfy\k_diffusion\sampling.py", line 635, in sample_dpmpp_2m_sde denoised = model(x, sigmas[i] * s_in, *extra_args) File "D:\AI\ComfyUI-aki-v1\comfy\samplers.py", line 297, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 993, in call return self.predict_noise(args, kwargs) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI_smZNodes\smZNodes.py", line 1043, in predict_noise out = super().predict_noise(args, kwargs) File "D:\AI\ComfyUI-aki-v1\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 "D:\AI\ComfyUI-aki-v1\comfy\samplers.py", line 277, in sampling_function out = calc_cond_batch(model, conds, x, timestep, model_options) File "D:\AI\ComfyUI-aki-v1\comfy\samplers.py", line 226, in calc_cond_batch output = model.apply_model(inputx, timestep, c).chunk(batch_chunks) File "D:\AI\ComfyUI-aki-v1\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:\AI\ComfyUI-aki-v1\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 "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, *kwargs) File "D:\AI\ComfyUI-aki-v1\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:\AI\ComfyUI-aki-v1\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 44, in forward_timestep_embed x = layer(x, context, transformer_options) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(args, kwargs) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(*args, kwargs) File "D:\AI\ComfyUI-aki-v1\comfy\ldm\modules\attention.py", line 694, in forward x = block(x, context=context[i], transformer_options=transformer_options) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(args, kwargs) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-layerdiffuse\lib_layerdiffusion\attention_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-Easy-Use\py\layer_diffuse\attension_sharing.py", line 253, in forward return func(self, x, context, transformer_options) File "D:\AI\ComfyUI-aki-v1\comfy\ldm\modules\attention.py", line 618, in forward n = attn2_replace_patch[block_attn2](n, context_attn2, value_attn2, extra_options) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "D:\AI\ComfyUI-aki-v1\python\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl return forward_call(args, **kwargs) File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI_densediffusion\densediffusion_node.py", line 179, in forward out = self.scaled_dot_product_attention( File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI_densediffusion\densediffusion_node.py", line 152, in scaled_dot_product_attention attn_weight.maskedfill(mask_bool.logical_not(), float("-inf")) RuntimeError: The expanded size of the tensor (2304) must match the existing size (2256) at non-singleton dimension 2. Target sizes: [1, 10, 2304, 1309]. Tensor sizes: [1, 10, 2256, 1309]

if-ai commented 3 months ago

I think you need to install https://github.com/huchenlei/ComfyUI_densediffusion

It could also be you played with the latent size and it has a mismatch somewhere I will check this more in detail later