# Community GGUF KV 9B Workflow

## Summary

Community `FLUX.2-klein 9B KV GGUF` workflow linked from a Hugging Face model page. This is a good candidate if you want a more optimized community path than the pure official templates, especially around GGUF and KV-cache usage.

## Model Family

- `flux2klein`

## Status

- `imported-only`

## Source

- Hugging Face discovery page: <https://huggingface.co/QuantStack/FLUX.2-Klein-9B-KV-GGUF>
- Workflow file: <https://raw.githubusercontent.com/YarvixPA/ComfyUI-YarvixPA/main/example_workflows/YarvixPA%20-%20Flux2%209B%20KV%20-%20GGUF.json>
- Workflow maintainer: `YarvixPA`
- Hugging Face publisher that surfaced it: `QuantStack`
- Date imported: `2026-08-08`

## Developer notes

- The `QuantStack` Hugging Face page says this workflow is available through the author's custom node package `ComfyUI-YarvixPA`.
- That same page says the workflow includes a `Flux KV Cache` node compatible with GGUF models and a fix that avoids limiting the editing capabilities of the model.
- The model page also points users to `ComfyUI-GGUF` and says the model files belong in `ComfyUI/models/unet`.

## Our notes

- This is the strongest Hugging Face community workflow find so far because it is both `9B`-relevant and explicitly optimization-oriented.
- The KV-cache angle is the interesting part here, not just the GGUF loader swap.
- Good candidate when the official template works but you want a more tuned community path for local efficiency.

## Required custom nodes

- `ComfyUI-GGUF`
- `ComfyUI-YarvixPA`
- `rgthree-comfy` for `Fast Groups Bypasser`

## Built-in / core nodes used

- `LoadImage`
- `SaveImage`
- `ImageScaleToTotalPixels`

## Notes

- This looks more like a performance-oriented community branch than a clean beginner template.
- Worth trying after the official `9B` templates if you want GGUF and caching-specific optimisations.