🎥 Complete Guide: Video Interpolation + Upscaling Workflow for ComfyUI (GIMMVFI + FlashVSR)
🎥 Complete Guide: Video Interpolation + Upscaling Workflow for ComfyUI (GIMMVFI + FlashVSR)
https://disk.yandex.ru/d/t5QtLkr3s1tzNA
This workflow is a dual-stage processing pipeline that combines frame interpolation with resolution upscaling to transform low-quality videos into smooth, high-definition results. Using GIMMVFI for motion interpolation and FlashVSR for resolution enhancement, it's perfect for animation, memes, archival footage restoration, and AI-generated video enhancement.
🔥 What This Workflow Achieves
Frame Interpolation (GIMMVFI):
Increases frame rate 2-8× (e.g., 24 FPS → 48 FPS)
Eliminates choppiness by generating intermediate frames
Creates fluid motion even from low-framerate source material
Resolution Upscaling (FlashVSR):
Enhances video resolution 2-4× while preserving details
Corrects compression artifacts and blur
Maintains temporal consistency across frames
Dual Output Options:
Interpolated video only (maintaining original resolution)
Fully enhanced video (interpolated + upscaled)
🔧 Prerequisites & Setup
1. Required Custom Nodes
# Main workflow components
cd ComfyUI/custom_nodes
git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite
git clone https://github.com/GIMM-TEAM/ComfyUI-GIMM-VFI
git clone https://github.com/11cafe/comfyui-flashvsr
# Optional but recommended for preprocessing
git clone https://github.com/Fannovel16/comfyui_controlnet_aux
Restart ComfyUI after installation.
2. Required Models
GIMMVFI:
Download
gimmvfi_r_arb_lpips_fp32.safetensors→ComfyUI/models/gimmvfi/Source: Hugging Face
FlashVSR:
Download
FlashVSR-v1.1_full.safetensors→ComfyUI/models/flashvsr/Source: Hugging Face

⚙️ Step-by-Step Workflow Configuration
Step 1: Import the Workflow
Save the workflow JSON as
interpolation_upscale_workflow.jsonIn ComfyUI, click Load → select the file
The workflow will appear on your canvas with all nodes connected
Step 2: Load Your Source Video
Node:
VHS_LoadVideoFFmpeg(pink node)Critical parameters:
Click 📁 Choose video to upload to select your source file
force_rate: Set to0to maintain original frame rate before processingframe_load_cap: For testing, set to100to limit processing to first 100 framesforce_size: Keep asDisabledunless you need to standardize input resolution
Step 3: Configure Frame Interpolation (GIMMVFI)
Node:
GIMMVFI_interpolate(blue node)Essential parameters:
ds_factor(Downscale Factor):1.0: Process at full resolution (best quality)0.5: Process at half resolution (VRAM-saver mode)
interpolation_factor:2: Double the frame rate (recommended for beginners)4: Quadruple the frame rate (advanced, requires powerful GPU)
seed: Usefixedwith a specific seed value for reproducible results
Step 4: Configure Resolution Upscaling (FlashVSR)
Node:
FlashVSRNode(purple node)Performance-critical settings:
mode:tiny: For GPUs with ≤12GB VRAMfull: Maximum quality (requires ≥16GB VRAM)
scale:2: 2× upscaling (optimal balance of quality/speed)4: 4× upscaling (extreme detail, very slow)
tiled_vae&tiled_dit: Enable (true) for VRAM optimizationtile_size:320(standard) or256(for lower VRAM)sparse_ratio:0.24(optimal motion preservation)
Step 5: Configure Output Settings
For interpolated-only output (left
VHS_VideoCombine):frame_rate: Set to original FPS × interpolation_factorfilename_prefix:Interpolated_videocrf:19(high quality) to23(balanced)
For full enhanced output (right
VHS_VideoCombine):Same frame rate as above
filename_prefix:Enhanced_videopix_fmt:yuv420p(maximum compatibility)
Step 6: Execution
Click Queue Prompt
Monitor VRAM usage in console (critical for long videos)
Results appear in
ComfyUI/output/when complete
✅ Advantages of This Workflow
Temporal Coherence: GIMMVFI ensures smooth transitions between frames before upscaling
Detail Preservation: FlashVSR maintains textures and fine details lost in standard upscaling
Resource Flexibility: Tile processing options allow adaptation to various GPU capabilities
Non-Destructive: Original video characteristics are preserved while enhancing quality
Batch Processing: Can be extended to process multiple videos sequentially
⚠️ Limitations & Workarounds
1. VRAM Limitations
Problem: "CUDA out of memory" errors on complex videos
Solutions:
Set
ds_factor = 0.5in GIMMVFI nodeEnable
tiled_vae = trueand reducetile_sizeto256Process videos in segments using
frame_load_cap
2. Motion Artifacts
Problem: "Ghosting" or blurring in high-motion scenes
Solutions:
Reduce
interpolation_factorto 2× instead of 4×Adjust GIMMVFI's motion estimation with custom parameters
Add a post-processing node with temporal smoothing
3. Processing Time
Problem: Extremely long render times for high-resolution videos
Optimizations:
Use Lightning mode (4-step sampling) for drafts
Process at 512px resolution first, then upscale final result
Disable preview generation during batch processing
💡 Pro Tips for Best Results
GPU-Specific Optimization

Content-Specific Adjustments
Animation/Anime:
Enable
color_fix=truein FlashVSRUse lower
sparse_ratio(0.18) for sharper lines
Live Action:
Increase
kv_ratioto 0.4 for better motion handlingSet
crf=21in output for balanced file size/quality
Text/Screen Recording:
Disable interpolation (remove GIMMVFI nodes)
Use FlashVSR with
scale=2only for clarity
Advanced Techniques
Two-Pass Enhancement:
First pass: Interpolate only (output intermediate video)
Second pass: Load intermediate video and upscale only
Benefit: Better memory management for long videos
Dynamic Resolution:
Use conditional nodes to automatically adjust
tile_sizebased on input resolutionCreate resolution-specific workflow variants (SD/HD/4K)
Audio Synchronization:
Enable
trim_to_audio=truein VHS_VideoCombine for perfect audio syncUse external tools like Audacity for audio cleanup before processing
📊 Performance Benchmarks (RTX 4090)

🔧 Complete Parameter Reference


🚀 Getting Started: Quick Configuration Guide
For first-time users:
Use a short test clip (10-15 seconds)
Set
frame_load_cap=50Use
scale=2andinterpolation_factor=2Enable all tile processing options
Troubleshooting workflow:
If nodes appear disconnected, use the reroute points (small circles on wires)
If models aren't loading, verify file paths in the node properties
For persistent errors, check ComfyUI console logs for specific error messages
Progressive enhancement strategy:
Start with interpolation only to verify motion quality
Add upscaling once interpolation looks good
Fine-tune parameters after validating the complete pipeline
✨ Final Thoughts: This workflow represents the cutting edge of AI video enhancement, combining temporal and spatial super-resolution techniques. While resource-intensive, the results can transform amateur footage into professional-looking content. Start small with short clips and conservative settings, then gradually increase complexity as you understand your hardware's capabilities.
Pro Tip: For animation projects, process in 30-frame segments and stitch together in post-production—this approach yields more consistent results for longer videos while managing VRAM constraints effectively.

