This version was trained using the original dataset directly in Flux, making it experimental and relatively large. The FewP and ManyP keywords don't have as prominent an effect as in the Pony/SDXL versions, but they still slightly adjust the composition and colors. For more information on usage, please refer to the model description.

By default, this LoRA produces images in a similar fashion to other versions when using ManyP. Overall, it behaves much like v1 of the LoRA did on SDXL/Pony, but without the overtraining issues.

Recommended Usage Range: Start at 0.2 - 1.5. For best results, begin in the 1 - 1.2 range and adjust according to your needs.

Higher Strength: Above 1.5, the model becomes slightly unstable but can still produce usable images up to 2.

For recommended usage on Quantized version with low VRAM , check this really simple ComfyUI Workflow:

https://civitai.com/models/658639/super-simple-gguf-quantized-flux-lora-workflow

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napping.g

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