comfyui-workflows/models/flux2klein/community-gguf-kv-yarvixpa

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.