My video has only one leg lift no matter how many seconds it outputs. Why is that?

I really can't find the download link for this dynamic Lora "aidma RUN Motion Lora" file. Could the versatile author and other colleagues provide a download link? Thank you very much。（我实在是找不到这个动态Lora“aidma-RUN-Motion Lora”文件的下载地址了，万能的作者与其他小伙伴能不能给提供个下载链接，在此不胜感激。）

First of all, thanks a lot!! I'd like to ask a question, in your dance example video, is it only a black and white converted video or an actual depth map?

Collection of model download addresses

（模型下载地址集合）

dreamshaper_8LCM.safetensors

https://civitai.com/models/4384?modelVersionId=252914

control_v1p_sd15_qrcode_monster.safetensors

https://huggingface.co/monster-labs/control_v1p_sd15_qrcode_monster/tree/main

Ghibli_v6 Lora.safetensors

https://civitai.com/models/54233/ghiblibackground

AnimateLCM_sd15_t2v.ckpt

https://huggingface.co/wangfuyun/AnimateLCM/tree/main

aidma-RUN-Motion Lora.safetensors

https://civitai.com/models/476267/run-motion-lora-for-animatediff

Does it work on XL models?

Nice workflow mate!!

Btw while running the same, hitting the below issue

Error occurred when executing IPAdapterUnifiedLoader: IPAdapter model not found.

As per the instruction, have downloaded ip-adapter_sd15_vit-G.safetensors and stored it under models/ipadapter... Still hitting the issue

Hey, my man) Sometimes the result is trying to be like a human like - face, legs. How to remove this and replace so that the result will consist only of reference image details.

Hi, i also recive this error ; Error occurred when executing KSampler (Efficient): Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cpu! File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\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:\comfyui\ComfyUI_windows_portable\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 713, in sample samples, images, gifs, preview = process_latent_image(model, seed, steps, cfg, sampler_name, scheduler, File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 533, in process_latent_image samples = KSampler().sample(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1344, in sample return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\nodes.py", line 1314, in common_ksampler samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 383, in motion_sample latents = orig_comfy_sample(model, noise, args, *kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control_reference.py", line 47, in refcn_sample return orig_comfy_sample(model, args, *kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\sample.py", line 37, 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:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 755, 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:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 657, in sample return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 644, in sample output = self.inner_sample(noise, latent_image, device, sampler, sigmas, denoise_mask, callback, disable_pbar, seed) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 623, in inner_sample samples = sampler.sample(self, sigmas, extra_args, callback, noise, latent_image, denoise_mask, disable_pbar) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 534, 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:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\k_diffusion\sampling.py", line 745, in sample_lcm denoised = model(x, sigmas[i] s_in, *extra_args) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 272, in call out = self.inner_model(x, sigma, model_options=model_options, seed=seed) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 610, in call return self.predict_noise(*args, kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 613, 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:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 428, in evolved_sampling_function cond_pred, uncond_pred = sliding_calc_cond_uncond_batch(model, cond, uncond_, x, timestep, model_options) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 572, in sliding_calc_cond_uncond_batch sub_cond_out, sub_uncond_out = comfy.samplers.calc_cond_batch(model, [sub_cond, sub_uncond], sub_x, sub_timestep, model_options) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\samplers.py", line 218, in calc_cond_batch output = model.apply_model(input_x, timestep_, c).chunk(batch_chunks) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\model_base.py", line 97, in apply_model model_output = self.diffusion_model(xc, t, context=context, control=control, transformer_options=transformer_options, **extra_conds).float() File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in wrappedcall_impl return self._call_impl(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in callimpl return forward_call(*args, kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\SeargeSDXL\modules\custom_sdxl_ksampler.py", line 71, in new_unet_forward x0 = old_unet_forward(self, x, timesteps, context, y, control, transformer_options, kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\comfy\ldm\modules\diffusionmodules\openaimodel.py", line 850, 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:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 101, in forward_timestep_embed x = layer(x, context) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in wrappedcall_impl return self._call_impl(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in callimpl return forward_call(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\motion_module_ad.py", line 673, in forward return self.temporal_transformer(input_tensor, encoder_hidden_states, attention_mask, self.view_options, mm_kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in wrappedcall_impl return self._call_impl(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in callimpl return forward_call(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\motion_module_ad.py", line 891, in forward hidden_states = block( File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in wrappedcall_impl return self._call_impl(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in callimpl return forward_call(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\motion_module_ad.py", line 1002, in forward attention_block( File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in wrappedcall_impl return self._call_impl(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in callimpl return forward_call(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\motion_module_ad.py", line 1185, in forward hidden_states = self.pos_encoder(hidden_states).to(hidden_states.dtype) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1518, in wrappedcall_impl return self._call_impl(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\python_embeded\lib\site-packages\torch\nn\modules\module.py", line 1527, in callimpl return forward_call(*args, **kwargs) File "D:\comfyui\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\motion_module_ad.py", line 1112, in forward x = x + self.pe[:, : x.size(1)]

Hm, it is working so far.
I switched out the source material and changed a bit about the preprocessing, but the rest is the same.
I am getting faces on dancers, maybe because of the lineart preprocessor?
Any idea how to change that?

The model in the process is fully used, but an error occurs:

Error occurred when executing ADE_ApplyAnimateDiffModelSimple: 'MotionModelPatcher' object has no attribute 'model_keys' 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\custom_nodes\ComfyUI-AnimateLCM\animatediff\nodes_gen2.py", line 146, in apply_motion_model return ApplyAnimateDiffModelNode.apply_motion_model(self, motion_model, motion_lora=motion_lora, File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-AnimateLCM\animatediff\nodes_gen2.py", line 104, in apply_motion_model motion_model = motion_model.clone() File "D:\AI\ComfyUI-aki-v1\custom_nodes\ComfyUI-AnimateLCM\animatediff\model_injection.py", line 216, in clone n.model_keys = self.model_keys

Atill getting this error. Any help? thank you
https://www.dropbox.com/scl/fi/gcn5yfmoxm4227npfja2o/scrnli_17-7-2024-13-26-33.png?rlkey=yupg41ujf2segqw4vozvdihgt&dl=0

Hello! the following error occurs during the Efficient Loader run. In CMD, it looks like this

Please help me understand what the problem is

HI, I'm getting error:

Error occurred when executing VHS_LoadVideo: module 'cv2' has no attribute 'VideoCapture'

Any idea?

Hi! Can you help me with the error?
Efficient Loader
TypeError: type str doesn't define round method

I added all new Efficient nodes from here https://github.com/jags111/efficiency-nodes-comfyui
but errors is the same. I'm newbie in python

Error occurred when executing ControlNetLoaderAdvanced: 'NoneType' object has no attribute 'lower' File "D:\ComfyUI-aki\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\ComfyUI-aki\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:\ComfyUI-aki\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\ComfyUI-aki\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\nodes.py", line 90, in load_controlnet controlnet = load_controlnet(controlnet_path, timestep_keyframe) File "D:\ComfyUI-aki\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control.py", line 513, in load_controlnet controlnet_data = comfy.utils.load_torch_file(ckpt_path, safe_load=True) File "D:\ComfyUI-aki\comfy\utils.py", line 14, in load_torch_file if ckpt.lower().endswith(".safetensors"):

Hello, Can you help me with the error? thanks

Can you tell me how to choose the main photo and how to write prompt words? Why is the result I made very poor, without any artistic beauty.

https://civitai.com/models/559596/dps-vid2vid-aniamtediff-lcm-dance-transfer?dialog=commentThread&commentId=469877

Hello! Your workflow is perfect and it excites me.

However, I am experiencing some issues with my setup and encountering similar problems. When I compare my settings with the images provided upon downloading the workflow, everything appears to be the same.

I had an issue with CLIP Vision as well, so I followed the instructions and downloaded and renamed the two necessary files. Additionally, since there was no ipadapter directory, I created one and placed the ip-adapter_sd15_vit-G.safetensors file in it.

I am also using the qrcode:

control_v1p_sd15_qrcode_monster.ckpt

Are there any other potential issues that might be causing the problem? The processing completes successfully, but the generated dance is missing one leg.

Brothers, it's best for everyone to be more careful. It's best to use all the models recommended by the author when starting with this workflow, otherwise it's easy to make mistakes. The best choice is to gradually modify it after getting familiar with it.

Error occurred when executing ImageUpscaleWithModel: [enforce fail at C:\Users\vfirs\projects\ipex-standalone\pytorch\c10\core\impl\alloc_cpu.cpp:72] data. DefaultCPUAllocator: not enough memory: you tried to allocate 24190451712 bytes. File "D:\Arc-AIDraw2\ComfyUI\execution.py", line 151, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) File "D:\Arc-AIDraw2\ComfyUI\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:\Arc-AIDraw2\ComfyUI\execution.py", line 74, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) File "D:\Arc-AIDraw2\ComfyUI\comfy_extras\nodes_upscale_model.py", line 57, in upscale s = comfy.utils.tiled_scale(in_img, lambda a: upscale_model(a), tile_x=tile, tile_y=tile, overlap=overlap, upscale_amount=upscale_model.scale, pbar=pbar) File "D:\Arc-AIDraw2\python\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "D:\Arc-AIDraw2\ComfyUI\comfy\utils.py", line 429, in tiled_scale output = torch.empty((samples.shape[0], out_channels, round(samples.shape[2] upscale_amount), round(samples.shape[3] upscale_amount)), device=output_device)

When I tried to make something different instead of flower, First second which is 15 frame is good but when I extend somehow human character pieces coming into the video. Anyone has same problem and know how to fix ?

How to solve the following error?

Error occurred when executing KSampler (Efficient):

0

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\execution.py", line 152, in recursive_execute

output_data, output_ui = get_output_data(obj, input_data_all)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\execution.py", line 75, in map_node_over_list

results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 732, in sample

samples, images, gifs, preview = process_latent_image(model, seed, steps, cfg, sampler_name, scheduler,

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 550, in process_latent_image

samples = KSampler().sample(model, seed, steps, cfg, sampler_name, scheduler, positive, negative,

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\nodes.py", line 1373, in sample

return common_ksampler(model, seed, steps, cfg, sampler_name, scheduler, positive, negative, latent_image, denoise=denoise)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\nodes.py", line 1343, in common_ksampler

samples = comfy.sample.sample(model, noise, steps, cfg, sampler_name, scheduler, positive, negative, latent_image,

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\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:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 522, in motion_sample

latents = orig_comfy_sample(model, noise, args, *kwargs)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\comfy\samplers.py", line 729, in sample

return cfg_guider.sample(noise, latent_image, sampler, sigmas, denoise_mask, callback, disable_pbar, seed)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context

return func(*args, **kwargs)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\comfy\k_diffusion\sampling.py", line 779, in sample_lcm

denoised = model(x, sigmas[i] s_in, *extra_args)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\comfy\samplers.py", line 299, in call

out = self.inner_model(x, sigma, model_options=model_options, seed=seed)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\comfy\samplers.py", line 682, in call

return self.predict_noise(*args, **kwargs)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\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 "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 625, in evolved_sampling_function

cond_pred, uncond_pred = sliding_calc_conds_batch(model, [cond, uncond_], x, timestep, model_options)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 815, in sliding_calc_conds_batch

sub_conds_out = calc_cond_uncond_batch_wrapper(model, sub_conds, sub_x, sub_timestep, model_options)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-AnimateDiff-Evolved\animatediff\sampling.py", line 899, in calc_cond_uncond_batch_wrapper

return comfy.samplers.calc_cond_batch(model, conds, x_in, timestep, model_options)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\comfy\samplers.py", line 202, in calc_cond_batch

c['control'] = control.get_control(input_x, timestep_, c, len(cond_or_uncond))

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 468, in get_control_inject

return self.get_control_advanced(x_noisy, t, cond, batched_number)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control.py", line 32, in get_control_advanced

return self.sliding_get_control(x_noisy, t, cond, batched_number)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\control.py", line 79, in sliding_get_control

return self.control_merge(None, control, control_prev, output_dtype)

File "G:\ComfyUI_Mie_V2.0-20240612\ComfyUI_Mie_V2.0\ComfyUI\custom_nodes\ComfyUI-Advanced-ControlNet\adv_control\utils.py", line 575, in control_merge_inject

x = control_output[i]

ths!!!

When loading the graph, the following node types were not found:

RIFE VFI

Nodes that have failed to load will show as red on the graph.

This workflow is so fun. Thank you! Does anyone have any suggestions on upscaling 200ish frames on 16gb VRAM? I get VRAM errors on even 100 when upscaling.

https://photos.app.goo.gl/oPraEt4p9dwuvK1Y7

I don't understand what I should do😭

Error occurred when executing Efficient Loader: 'NoneType' object has no attribute 'lower' File "C:\ComfyUI\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI\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 "C:\ComfyUI\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 158, in efficientloader model, clip = load_lora(lora_params, ckpt_name, my_unique_id, cache=lora_cache, ckpt_cache=ckpt_cache, cache_overwrite=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI\ComfyUI\custom_nodes\efficiency-nodes-comfyui\tsc_utils.py", line 372, in load_lora lora_model, lora_clip = recursive_load_lora(lora_params, ckpt, clip, id, ckpt_cache, cache_overwrite, folder_paths) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI\ComfyUI\custom_nodes\efficiency-nodes-comfyui\tsc_utils.py", line 366, in recursive_load_lora return recursive_load_lora(lora_params[1:], lora_model, lora_clip, id, ckpt_cache, cache_overwrite, folder_paths) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI\ComfyUI\custom_nodes\efficiency-nodes-comfyui\tsc_utils.py", line 363, in recursive_load_lora lora_model, lora_clip = comfy.sd.load_lora_for_models(ckpt, clip, comfy.utils.load_torch_file(lora_path), strength_model, strength_clip) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI\ComfyUI\comfy\utils.py", line 14, in load_torch_file if ckpt.lower().endswith(".safetensors"): ^^^^^^^^^^

Why is mine blurry？

为什么我的出来的是蒙版图

s生成出来的视频是没有背景的吗

如何控制背景图尽量变化不要太大呢

请问一下，我这里背景都是偏黑偏暗的，拿工作流里的图和参数试了下出来也是黑的，不知道哪里出了问题？

https://drive.google.com/file/d/1Uybj3Z4ugRYMfa1g-dfDUVN_ZlFMFcXZ/view?usp=sharing

这套工作流可以局部动画吗，比如一个盘子里有一个辣椒跳舞，除了辣椒外其他地方基本不变

something wrong with my realistic lineart node.What model should I download and Where to put it?

It tell me this

Prompt executed in 0.01 seconds

got prompt

!!! Exception during processing!!! LineartDetector.from_pretrained() missing 1 required positional argument: 'pretrained_model_or_path'

Traceback (most recent call last):

File "D:\ComfyUI-aki-v1.1\execution.py", line 152, in recursive_execute

output_data, output_ui = get_output_data(obj, input_data_all)

File "D:\ComfyUI-aki-v1.1\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:\ComfyUI-aki-v1.1\execution.py", line 75, in map_node_over_list

results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))

File "D:\ComfyUI-aki-v1.1\custom_nodes\comfyui_controlnet_aux\node_wrappers\lineart.py", line 19, in execute

model = LineartDetector.from_pretrained().to(model_management.get_torch_device())

TypeError: LineartDetector.from_pretrained() missing 1 required positional argument: 'pretrained_model_or_path'

Error occurred when executing IPAdapterUnifiedLoader: IPAdapter model not found. File "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute output_data, output_ui = get_output_data(obj, input_data_all) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\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 "C:\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list results.append(getattr(obj, func)(**slice_dict(input_data_all, i))) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI_IPAdapter_plus\IPAdapterPlus.py", line 543, in load_models raise Exception("IPAdapter model not found.")

I am getting an error even though the file is in the correct location. Can you help? :/

https://drive.google.com/file/d/1h1xHPm30mMJkivTpnyqp5ygtbGTl51X5/view?usp=sharing

Hey, great workflow. How did you turn the dance reference video into the black and white video please?

In the image of the workflow with red arrows, we can't see what do you use in the second control net on the bottom, the green one below the "qr monster", what do you suggest?

Error occurred when executing Efficient Loader:

'NoneType' object has no attribute 'lower'

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute

output_data, output_ui = get_output_data(obj, input_data_all)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\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 "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list

results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\efficiency_nodes.py", line 158, in efficientloader

model, clip = load_lora(lora_params, ckpt_name, my_unique_id, cache=lora_cache, ckpt_cache=ckpt_cache, cache_overwrite=True)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\tsc_utils.py", line 370, in load_lora

ckpt, clip, = loadcheckpoint(ckpt_name, id, cache=ckpt_cache)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\custom_nodes\efficiency-nodes-comfyui\tsc_utils.py", line 246, in load_checkpoint

out = comfy.sd.load_checkpoint_guess_config(ckpt_path, output_vae, output_clip=True, embedding_directory=folder_paths.get_folder_paths("embeddings"))

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\sd.py", line 491, in load_checkpoint_guess_config

sd = comfy.utils.load_torch_file(ckpt_path)

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "J:\ComfyUI_windows_portable_nvidia\ComfyUI_windows_portable\ComfyUI\comfy\utils.py", line 14, in load_torch_file

if ckpt.lower().endswith(".safetensors"):

^^^^^^^^^^

Help me solve this error

Maybe I ask an obvious question for some but, why did you used the control_v1p_sd15_qrcode_monster? what does it do specifically?

Was this workflow from a jboogx video? Was trying to figure out who to credit but then realized I was working on your workflow, either way thanks