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Turn your low-resolution, low-framerate videos into high-quality, high-FPS videos.
Profil d'exécution
Description de la source
Turn your low-resolution, low-framerate videos into high-quality, high-FPS videos.
What’s Interpolation? A method that adds extra frames between the original ones to make the video look smoother. It basically “fills in the gaps” between frames, so motion appears more fluid and less choppy.
This workflow uses NVIDIA VSR, so it does not add extra detail to the base video. Instead, it preserves the original quality while upscaling without introducing pixelation.
It uses RIFE VFI for interpolation. Tested with 1-minute-long videos targeting 1440p at 64 FPS on an NVIDIA RTX 4090.
To install ComfyUI_NVIDIA_RTX_Nodes:
Commentaire généré par l’IA
Explication générée par l’IA à partir des détails de la source et de la configuration. Les suggestions sont clairement signalées.
Use this ComfyUI workflow to upscale low-resolution, low-framerate videos with NVIDIA VSR and add frames with RIFE VFI, producing a high-resolution, high-FPS video without adding extra detail to the base video.
NVIDIA VSR performs the upscaling, while RIFE VFI performs frame interpolation.
Interpolation adds frames between original frames so motion appears smoother and less choppy.
Input: a low-resolution, low-framerate video.
Output: an upscaled, high-FPS video with added frames between the original frames and no extra detail added to the base video.
Update ComfyUI, then install ComfyUI_NVIDIA_RTX_Nodes through ComfyUI Manager. Verify that the link points to https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI.
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If ComfyUI Portable reports a dependency error for Nvidia VSR, back up its embedded Python directory, then run `python -m pip install -U --no-build-isolation nvidia-vfx --index-url https://pypi.nvidia.com` from that directory; in PowerShell, use `./python.exe` instead of `python`
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The workflow lists comfyui_essentials, comfyui_fill-nodes, comfyui_layerstyle, and comfyui_nvidia_rtx_nodes.
It also lists comfyui-custom-scripts, comfyui-easy-use, comfyui-frame-interpolation, and comfyui-impact-pack.
It also lists comfyui-videohelpersuite and rgthree-comfy.
Use yellow nodes to provide inputs and adjust available settings.
Use red nodes for instructions and useful notes included in the workflow.
If installation reports a security-level error, temporarily set `security_level = weak` in `ComfyUI/user/__manager/config.ini`, restart ComfyUI, complete the installation, then restore the original setting and restart again.
Suggestion · non vérifié
Before running it, verify that comfyui_nvidia_rtx_nodes is installed and available. No usage license is listed, so verify the applicable terms before using the workflow in a project.
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Sources
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3 extraitsSource context: 425 downloads · Type Workflows · Base model Other
COMFYUI SECURITY ERROR FIX
If you hit a security level error while trying to install the ComfyUI_NVIDIA_RTX_Nodes custom node from ComfyUI manager:
You need to temporarily change the security level in your config.ini file.
If you are using the portable version, the file is located at: ComfyUI/user/__manager/config.ini
Change the value to: security_level = weak
IMPORTANT: Do NOT forget to restore it back to its original value. It is safe to temporarily lower the security level for this node since it comes directly from the ComfyUI team, but you should restore it afterward for safety reasons.
Perform a hard restart of ComfyUI (completely stop it, then start it again).
Install the custom node using ComfyUI manager and double-check that it is the official one. The link should point to: https://github.com/Comfy-Org/Nvidia_RTX_Nodes_ComfyUI
Restart ComfyUI and check if the node works properly. If you encounter a dependency error, keep reading...
Once everything is working properly, restore your original security level in the config.ini file and restart ComfyUI one final time.
COMFYUI PORTABLE DEPENDENCY ERROR FIX
If you hit a dependency error trying to run the Nvidia VSR node, try this: Create a backup of your embedded Python directory, in case you break something you can restore your embedded directory later using this backup. Then run the following command:
python -m pip install -U --no-build-isolation nvidia-vfx --index-url https://pypi.nvidia.com
Run the command in your embedded Python directory. For example: D:\ComfyUI\python_embeded. This command is designed for CMD. If you're using PowerShell, replace the initial python with .\python.exe.
Detailed use instructions are contained within the workflow it self:
Estimation des besoins VRAM
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Exigences
Exigences 10Pack de nœud · Registry
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comfyui_nvidia_rtx_nodes
Non résoluPack de nœud · Registry
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Source context: 422 downloads · Type Workflows · Base model Other
Source context: 420 downloads · Type Workflows · Base model Other
