Add Hugging Face community FLUX.2-klein notes

2026-08-08 21:04:08 +00:00
parent 838a32ac8b
commit 9c12e98295
4 changed files with 2525 additions and 0 deletions
@@ -0,0 +1,50 @@
+# 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.