Відео

Thank you.

It seems the torch & torchaudio in your comfyui environment are not compatible. You can check the versions of both libraries and confirm if they are compatible by visiting this pytorch site: pytorch.org/get-started/previous-versions/ Also note that this project was tested successfully with pytorch versions 2.0.1 & 2.3.1 with compatible torchvision and torchaudio libraries. I don't know if other versions work well.

You can get them from this github repository: github.com/Isi-dev/ComfyUI-Animation_Nodes_and_Workflows

Thanks!

I did, but it looked better with the bg.

Thank you.

@@Isi-uT Buddy....nothing appear at video combine node..... any suggestion ??

You can check your CLI for any error.

Thank you.

I thought I had updated the code to handle this error. Did you install the nodes within the last 2days?

If you did not install the nodes within the last 2days, you can try updating the nodes.

UniAnimate Nodes for ComfyUI

Yes it can. I have done a 360 before,which was great for guys, but long-haired ladies tend to lose part of their back hair. As for bending, it's great for male characters, but it doesn't handle boobs well. I will upload my tests soon.

somehow it works when creating new workflow and not using ther one provided...both video and image..and fast! great

Good to know it now works. The img2lineart makes more computational demands than the other nodes when the deep_clean_up option is greater than zero. But setting it to zero results in lots of noise in the output. The alternative is to reduce the value of the details which, depending on the input image, could make most of the lines disappear.

I really can't say if it is better in terms of output quality because I haven't tested mimic motion. I actually came across the paper on mimic motion before hearing of unianimate, but the VRAM requirements of mimic motion put me off. I don't know if any improvement has been made in that area since then. Based on what I have read, unianimate can animate images faster and can handle far longer video frames than mimic motion.

I suggest you watch the following video by Mickmumpitz since I haven't done much related to your questions. He shared some workflows which might help you get started: ua-cam.com/video/mEn3CYU7s_A/v-deo.html

You can get the workflows from this github repository: github.com/Isi-dev/ComfyUI-UniAnimate-W You will find two json files at the root of the repository: UniAnimateImg2Vid.json & uniAnimateReposeImg.json You can also find the workflows for the new nodes in the newWorkflows folder.

Try updating ComfyUI.

@@Isi-uT Hi sir do u have any mail ID to contact

@@Chrisreaction-bz8po isinsemail@gmail.com

You can identify the node that throws the error and try updating it. If that doesn't work, you can update Comfyui.

I have not yet used comfyui on the cloud, but based on what I have read & heard, it is generally true that you can do the things you mentioned. You can do as you like with models in colab since it uses your Google drive for storage, although I don't think you can run comfyui on colab with a free account. Other cloud services like comfy.icu & runComfy.com provide lots of models, workflows, and technical assistance that appear to make it easier to run comfyui than doing so locally. I don't know if there's provision to upload and modify models with these other platforms.

You should be able to render a video up to 20 sec if you have a high VRAM. The highest I have done is 4 sec. Someone mentioned rendering up to 370 frames which is a little above 12 sec for a 30fps video. The video quality depends on the inputs and the seed. The team behind the original project suggested using a seed of 7 or 11 in their project page. You have to keep experimenting with different seeds, and upscaling vids and images to find out what works best.

Thanks It was helpful. I'll try and response you when I get desire result

I really don't know because I haven't tried it. All I did was create a comfyui wrapper for the original project, so I don't know much about the unified model.

Please can you post the full error message let's see if we can resolve it.

Interesting! I never considered that. I think you should be able to use a Webcam node, although I'm not familiar with any.

@@Isi-uT I would give a try to see if would work

The xformers requirement makes the installation quite difficult and it took me sometime to get it working. Can you check for any error in your CLI?

@@Isi-uT Actually when i installed unianimate Custom node it reindstalled Pytorch to other version, and my comfy ui was not working,then i deleted the Unianimate Custom node and i reinsatlled the pytorch version: 2.3.1+cu121 ,then comfy started working BUT now i am Not sure to install the custom node again as i fear it will mess up my pytorch again,can you help plz..Thanks for replying.

@@ParthKakarwar-b7j it`s my problem too

The pytorch version in the requirements.txt file in the Unianimate custom node is 2.3.1 which is the same as what you currently have, so I am quite surprised that it would install another pytorch version. The only other thing is to ensure that the xformers version is 0.0.27.

An alternative is to have another comfyUI installed for unianimate to avoid dependency conflicts with other custom nodes. That's what I usually do for new custom nodes with requirements that conflict with the ones I already have.

Your setup looks okay except the VRAM. I have only tested it with 12GB VRAM and sometimes my system struggles depending on the input.

@@Isi-uT Can't i use Reposer atleast,with 4gb vram...? and when i install Unianimaate custom node it reinsatll the pytorch to new and my comfy UI dont work can you help me with this.Thanks for your reply.

The repose workflow might work. Considering your high RAM, I guess your shared VRAM is quite high. If setting up the node is interfering with the normal operation of your current Comfyui, then I suggest you install a separate Comfyui for unianimate so that you can focus on troubleshooting a specific installation. Sometimes I spend a whole day trying to make a workflow that worked in comfyui a month ago work again. The dependency conflicts among custom nodes and those introduced by updates is a serious issue.

Thank you. I will keep seeking.

The new workflows are : image2VidLong.json & reposeImgNew.json You can find both workflows in the newWorkflows folder in this github repository: github.com/Isi-dev/ComfyUI-UniAnimate-W

There's an implementation by someone else on Google Colab, although I haven't tried it. You can see this github repository: github.com/camenduru/UniAnimate-jupyter

I haven't come across this error. Please can you show the full error let me know the part of the code that threw it, and also the sizes of the picture and video so that I can try to reproduce the error.

@@Isi-uT Sure. I've used a variety of resolution videos as the input. All portrait orientation. I started with 720 X 1080 and I resized it down to 660x512 to see if that would help, but it didn't. I also tried different sized images, so that's not it. Here's what the CLI says... 2024-09-14 19:33:07,823 - dw pose extraction - INFO - All frames have been processed. 32 Ready for inference. Running UniAnimate inference on gpu (0) Loaded ViT-H-14 model config. Loading pretrained ViT-H-14 weights (X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\checkpoints/open_clip_pytorch_model.bin). X:\AI\ComfyUI3\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch n\functional.py:5504: UserWarning: 1Torch was not compiled with flash attention. (Triggered internally at ..\aten\src\ATen ative\transformers\cuda\sdp_utils.cpp:455.) attn_output = scaled_dot_product_attention(q, k, v, attn_mask, dropout_p, is_causal) Restored from X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\checkpoints/v2-1_512-ema-pruned.ckpt Load model from (X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\checkpoints/unianimate_16f_32f_non_ema_223000.pth) with status (<All keys matched successfully>) Avoiding DistributedDataParallel to reduce memory usage Seed: 30 end_frame is (32) Number of frames to denoise: 32 0%| | 0/25 [00:00<?, ?it/s] !!! Exception during processing !!! The size of tensor a (64) must match the size of tensor b (96) at non-singleton dimension 4 Traceback (most recent call last): File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\execution.py", line 323, in execute output_data, output_ui, has_subgraph = get_output_data(obj, input_data_all, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\execution.py", line 198, in get_output_data return_values = _map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True, execution_block_cb=execution_block_cb, pre_execute_cb=pre_execute_cb) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\execution.py", line 169, in _map_node_over_list process_inputs(input_dict, i) File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\execution.py", line 158, in process_inputs results.append(getattr(obj, func)(**inputs)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\uniAnimate_Inference.py", line 128, in process frames = inference_unianimate_long_entrance(seed, steps, useFirstFrame, image, refPose, pose_sequence, frame_interval, context_size, context_stride, context_overlap, max_frames, resolution, cfg_update=cfg_update.cfg_dict) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\tools\inferences\inference_unianimate_long_entrance.py", line 76, in inference_unianimate_long_entrance return worker(0, seed, steps, useFirstFrame, reference_image, refPose, pose_sequence, frame_interval, context_size, context_stride, context_overlap, max_frames, resolution, cfg, cfg_update) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\tools\inferences\inference_unianimate_long_entrance.py", line 467, in worker video_data = diffusion.ddim_sample_loop( ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\tools\modules\diffusions\diffusion_ddim.py", line 825, in ddim_sample_loop xt, _ = self.ddim_sample(xt, t, model, model_kwargs, clamp, percentile, condition_fn, guide_scale, ddim_timesteps, eta, context_size=context_size, context_stride=context_stride, context_overlap=context_overlap, context_batch_size=context_batch_size) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\tools\modules\diffusions\diffusion_ddim.py", line 787, in ddim_sample _, _, _, x0 = self.p_mean_variance(xt, t, model, model_kwargs, clamp, percentile, guide_scale, context_size, context_stride, context_overlap, context_batch_size) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\tools\modules\diffusions\diffusion_ddim.py", line 719, in p_mean_variance y_out = model(latent_model_input, self._scale_timesteps(t).repeat(bs_context), **model_kwargs_new[0]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch n\modules\module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\python_embeded\Lib\site-packages\torch n\modules\module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "X:\AI\ComfyUI3\ComfyUI_windows_portable\ComfyUI\custom_nodes\ComfyUI-UniAnimate-W\tools\modules\unet\unet_unianimate.py", line 522, in forward concat = concat + misc_dropout(dwpose) ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ RuntimeError: The size of tensor a (64) must match the size of tensor b (96) at non-singleton dimension 4 Prompt executed in 41.08 seconds

I see, thanks. I will look into it.

The UNET model was getting the default resolution from the config file which could sometimes be different from the resolution used by the noise. I have updated the code to prevent the error. All you need to do is to add: cfg.resolution = resolution at line 240 in tools/inferences/inference_unianimate_long_entrance.py at line 234 in tools/inferences/inference_unianimate_entrance.py Please let me know how it goes. As for the VRAM requirement, I can't think of any other way to reduce it. The inference initially required at least 22GB of VRAM to run, but was reduced to around 10GB by transferring the clip_embedder and autoencoder computations to CPU. The only advantage I know for using the long version is to maintain consistency of appearance of the output.

@@Isi-uT YES! That worked perfectly and the results are awesome lol! Am now able to create MUCH longer videos. Just made one with 370 frames, and maybe I can do longer! Thanks so much for your nodes, your help and your hard work :)

Yes, you can upload any video and the movement will be transferred to the picture, but I cannot guarantee that it will be very professional. Sometimes, extra editing might be needed. Please note that this implementation is for the Windows OS. You can watch a video on the installation here: ua-cam.com/video/NFnhELV4bG0/v-deo.html Or you can install the custom nodes with the ComfyUI Manager by searching for: ComfyUI-UniAnimate-W You can download the required models (about 14GB) from huggingface.co/camenduru/unianimate/tree/main and place them in '\custom_nodes\ComfyUI-UniAnimate-W-main\checkpoints' folder. In case you haven't done so, you can download comfyUI from this link: www.comfy.org/

Yes, you can upload any video and the movement will be transferred to the picture, but I cannot guarantee that it will be very professional. Sometimes, extra editing might be needed. Please note that this implementation is for the Windows OS. You can watch a video on the installation here: ua-cam.com/video/NFnhELV4bG0/v-deo.html Or you can install the custom nodes with the ComfyUI Manager by searching for: ComfyUI-UniAnimate-W You can download the required models (about 14GB) from huggingface.co/camenduru/unianimate/tree/main and place them in '\custom_nodes\ComfyUI-UniAnimate-W-main\checkpoints' folder. In case you haven't done so, you can download comfyUI from this link: www.comfy.org/

@@Isi-uT Brother, can it be run on Google Colab?

Yes, you can upload any video and the movement will be transferred to the picture, but I cannot guarantee that it will be very professional. Sometimes, extra editing might be needed. Please note that this implementation is for the Windows OS. You can watch a video on the installation here: ua-cam.com/video/NFnhELV4bG0/v-deo.html Or you can install the custom nodes with the ComfyUI Manager by searching for: ComfyUI-UniAnimate-W You can download the required models (about 14GB) from huggingface.co/camenduru/unianimate/tree/main and place them in '\custom_nodes\ComfyUI-UniAnimate-W-main\checkpoints' folder. In case you haven't done so, you can download comfyUI from this link: www.comfy.org/

Yeah, she's good!

You can now easily install the nodes with the ComfyUI manager by searching for: ComfyUI-UniAnimate-W Then you can download the models from this huggingface repository: huggingface.co/camenduru/unianimate/tree/main Place the models in this folder: ComfyUI/custom_nodes/ComfyUI-UniAnimate-W/checkpoints Restart ComfyUI and you're ready to go.

@@Isi-uT I've got that far, but the models, and requirements, I wish I could just download them normally, my pip install showed some errors and I'm too noob to fix...

@@Isi-uT no, there is no ComfyUI-UniAnimate-W . of course there is ComfyUI-UniAnimate. but not the w version

I initially named the github repository that houses the custom nodes ComfyUI-UniAnimate, but later changed it to ComfyUI-UniAnimate-W after a member of the comfyUI team notified me of a name conflict with a similar repository. You can confirm the new name by visiting github.com/Isi-dev/ComfyUI-UniAnimate-W

@@Isi-uT i already visited this. but in manager the name is without w.

You can get the workflows from this github repository: github.com/Isi-dev/ComfyUI-UniAnimate-W

@@Isi-uT Donloaded the workflow from your link but when put in ComfyUI I get this error Unable to find workflow in publish.yml

The workflows are the .json files at the root of the repository e.g. UniAnimateImg2Vid.json, BasicUniAnimateWorkflow.json. The publish.yml file in the workflow folder located at the root of the repository is for sending updates to the comfy registry. Sorry for the confusion.

You can find the nodes by searching with the following name in ComfyUI manager : ComfyUI-Img2DrawingAssistants

The only time I remember getting this error was when I mistakenly updated the python_embeded env used by ComfyUi portable with a pytorch cpu version. First check the version of your pytorch to be sure it's a GPU version e.g 2.3.1+cul121

@@Isi-uT i will try! thanks!

It might not be able to handle image to video. Did you try the image repose workflow?

@@Isi-uT I tried both, but It gets stuck during processing. I feel it should at least help with the image-to-pose workflow on a low-end GPU. Could you please create a detailed tutorial on the image repose workflow? Thank you. It would be great if there were a simple, dedicated node for image repose instead of dealing with video and frame rates, etc.

I will make a node specifically for changing the pose of an image soon, with more options. But note that the UniAnimate model was actually trained for image to video, so both the video and image workflows make use of the same models, resulting in the high VRAM requirement irrespective of the workflow. And of course more frames mean more VRAM. For now you can try reducing the sizes of both images and upscale later.

@@Isi-uT Thank you so much for your reply. Looking forward to the pose to image node.

I'm happy you got it working. We live we learn. All the best.

Oh... now i can find it in comfyui manager. Thanks for your time.

Thank you.

You can find the linked urls by clicking on ...more in the description.

@@Isi-uT i did. thats where its cut off. see for yourself

@@Rachelcenter1 Sorry I didn't understand you before. Thanks for pointing this out. It seems youtube shortens the links for some reason. I made a little modification so that clicking them should take you to the right address.

CUDA Toolkit: 11.8 cuDNN Library: 8.9.7.29 PyTorch: 2.3.1 Python: 3.10 xformers: 0.0.27 Specify the xFormer version while installing e.g. xFormers==0.0.27 (compatible with torch 2.3.1) or xFormers==0.0.20 (compatible with torch 2.0.1)

Your environment looks okay, although I am not certain of Pytorch 2.4. I successfully ran unianimate with Pytorch 2.3.1 which is compatible with xFormers==0.0.27, and pytorch 2.0.1 which is compatible with xFormers==0.0.20. I recommend you specify the versions while installing the libraries otherwise pip will take you in circles.

Please let me know if you were successful in running the code with the fresh install of ComfyUI. And in case you didn't re-download the github repo before following this installation video, I suggest you replace all the contents in your requirements.txt with the following (Assuming you have installed torch 2.3.1): numpy==1.26.0 opencv-python==4.9.0.80 pytorch_lightning==2.3.0 lightning_utilities==0.10.0 lightning_fabric==2.3.0 torchmetrics==1.3.0.post0 xformers==0.0.27 einops==0.7.0 onnxruntime==1.18.0 open-clip-torch==2.24.0 fairscale==0.4.13 easydict==1.11 imageio==2.33.1 matplotlib>=3.8.2 args You can then run requirements.txt in your Comfy Environment.

@@Isi-uT That's great! I will try again tomorrow after work. I will let you know if I get it working, or not. Thanks again :)

@@Isi-uT OK, I GOT IT WORKING! I started with a fresh install of ComfyUI. I then downloaded your repository and ran comfyui. I installed the missing nodes via manager. I didn't re-download the 14GB of models, I just copied them over from earlier. And I made sure to run the requirements.txt file in your custom node folder. Here's a short list of the dependencies that need to line up and what is currently working for me... Python - 3.11.9 Pytorch - 2.3.1+cu121 Torchvision - 0.18.1+cu121 CUDA - 12.1 Xformers - 0.0.27 And I learned a lot and hopefully anyone who is struggling will read this won't make the same mistakes I made. My BIG MISTAKE was not understanding that ComfyUI has it's own embedded python environment. I wasted hours. I was installing things via CMD in the global environment. I was installing things in the (base) Conda environment. And none of it was working because ...ComfyUI has it's own embedded python environment. ....but FINALLY I got it working... Now I can play with UniAnimate and your custom nodes - THANK YOU! for all your help :)

The dependencies of UniAnimate are quite challenging to reconcile. It took me about 2 days to get it working on ComfyUI. I will release an installation video as soon as the node is made available on the ComfyUI Manager. I have initiated the process.

@@Isi-uT That's great! If UniAnimate works as well as the examples shown, your video is going to become very popular. You might be the only one working on this, for now. "Animate Anyone" required very advanced workflows and a lot of luck just to get so so results. Good luck to you and your new TY channel :)

@@williamlocke6811 Thank you. There's another ComfyUI-UniAnimate repo (github.com/AIFSH/ComfyUI-UniAnimate). The delay in the availability of the nodes through the ComfyUI Manager was due to a repository name conflict with the aforementioned repo. The nodes are now available through the Manager, but if you are still interested in seeing an installation video, then check the link I just added to the description of this video.

You're right. UniAnimate depends on xFormers for optimization. I tested the code on a Windows OS and I don't have access to a Mac, so I am not familiar with issues on that OS.

@@Isi-uT I wonder if you could create a version that doesnt require Xformers

@@Rachelcenter1 I can't think of a way to make it work without xFormers for now.

Yes you can. That's exactly my system's specs.

Please confirm if the downloaded repository is in the '\ComfyUI\custom_nodes\' folder. The nodes are in the 'uniAnimate_Inference.py' file. Your folder structure should look something like: \ComfyUI\custom_nodes\ComfyUI_UniAnimate\uniAnimate_Inference.py & other files.

@@Isi-uT Yes, the ComfyUI-UniAnimate-main folder is in the Comfy custom_nodes folder. In your repository there are 2 .py files other than modeldownloader - uniAnimate_Inference, and run_align_pose. What should I do with them? Chatgpt has failed me :(

​@@williamlocke6811 It means your folder structure is correct and the nodes should be visible, except if there are dependency issues. Please check your CLI for errors.

@@Isi-uT Good advice! I checked the CLI and discovered that your nodes require xformers, which I didn’t have installed. After adding xformers, it caused some issues with PyTorch, but I managed to sort it out by reinstalling everything. Now, all your nodes are working perfectly. Thank you for your help-you're a genius! :)

Thank you for subscribing. I will make a video on the installation soon. The nodes cannot currently be installed through the ComfyUI Manager. I will look into the procedure for making it accessible through the manager. For now, you can download the code from the github repository, extract and place the 'ComfyUI-UniAnimate-main' folder in the 'custom_nodes' folder of your ComfyUI installation. The 'ComfyUI-UniAnimate-main' folder contains the two nodes.

@@Isi-uT I will attempt it. Thank you! And if I fail, I'll wait for your next video :p

Subscribed

​@@DeathMasterofhell15Thank you.