June 10, Update: stmfnet
Just to save folks a headache the file is available for download as a model now.
June 06, Update: V4.0
Just a minor improvement, using a double interpolation of SFTMVFI results in higher fidelity of dynamic or fast motion scenes. Video is manually loaded to reduce time when generating high quantities of test runs. Now you can select which videos you want to upscale, will copy the name of the original input video.
Included the context framing node from Kijai's wrapper. Usually leave this off will exponentially increase generation times if on; however, can let you generate much longer videos beyond what your vram will allow you.
Interpolation requires higher VRAM if scaling if greater than 1.0. Changed the scaling factor to float for more control.
Updated nodes if there is any issues feel free to let me know.
https://drive.google.com/file/d/1s5JJdt5X69AO2E2uuaes17aPwlWIQagG/view
Place it in the folder: Custom_nodes\ComfyUI-Frame-Interpolation\ckpts\stmfnet
April 14, Update: V3.3
Updated Nodes.
March 27, Update: V3.2
Small changes to the Torch Compile and Tea Cache for more dynamic outputs using my Lora's.
Workflow is suitable for a 24GB card using the 14B models and a 12GB card using the 1.3B model.
Updates:
***Error within the naming of outputs corrected.
Uploaded a very simple and straightforward Wan I2V workflow. The workflow includes an upscaler with frame interpolation to bring your videos to a cool and smooth 60FPS. No BS just a simple addition. Original WanI2V is based on the workflow example of the amazing work from Kijai linked here: https://github.com/kijai/ComfyUI-WanVideoWrapper/tree/main/example_workflows.
Additionally, I've left the annotations within.
Prev Updates:
Compatible with 12GB memory cards. Tested using a 3060 RTX 12GB using this workflow can comfortably go up to 85 frames. 97 Frames is pushing the absolute limits will take about an hour to generate.
Due to demand this workflow is a small improvement to the Super Simple HV2V for those who don't do postprocessing outside of Comfyui.
Designed for use with Hunyuan Video and trained Lora models, it can upscale videos to true 60 FPS. It combines detailed notes on denoising strength, step optimization, aspect ratio adjustments, frame interpolation, and upscaling to create high-quality, smooth videos.
Order matters:
Generate → Upscale → Interpolate. Upscaling first preserves detail for interpolation.
Adjust parameters based on your Lora’s behavior and hardware limits.
Description
Simple Update to the changes made to Native Comfyui
FAQ
Comments (4)
I'm having an issue with the HunyuanVideoWrapper "feta_args". It's highlighted red. How do I fix this?
Also, I keep getting this error:
Prompt outputs failed validation HyVideoModelLoader: - Value not in list: model: 'hyvideo\hunyuan_video_I2V_fp8_e4m3fn.safetensors' not in ['hunyuan_video_image_to_video_720p_bf16.safetensors', 'mp_rank_00_model_states_fp8.pt'] HyVideoVAELoader: - Value not in list: model_name: 'hyvid\hunyuan_video_vae_bf16.safetensors' not in ['hunyuan_video_vae_bf16.safetensors', 'wan_2.1_vae.safetensors'] LoadImage: - Custom validation failed for node: image - Invalid image file: anya.jpg HyVideoSampler: - Value not in list: i2v_mode: '' not in ['stability', 'dynamic']
Any suggestions?
You need to delete the feta_arg node and the sampler node and place new ones in the work flow. It's due to a recent update that requires you to change the nodes.
Thank you @SingularUnity . I suspected that the recent update was the problem. This is going to be rough. I just started learning this week and barely have any idea how all this works. But if you all can learn it, then so can I. Fantastic work by the way. Your animations look magnificent! They are inspiring me to embrace the challenge.
@soloreflection Not a problem it's not so complicated once you get your bearings. If you have any other questions feel free to ask, I'm happy to help if I can.