---
license: cc-by-nc-4.0
library_name: diffusers
base_model: black-forest-labs/FLUX.2-klein-base-9B
tags:
  - flux
  - flux2
  - flux-klein
  - fp8
  - bf16
  - nf4
  - gguf
  - quantized
  - text-to-image
  - image-generation
pipeline_tag: text-to-image
---

# BigLove Klein 2 — All Variants

# Note: 
Since someone is once again claiming ownership over a model they don't own, I took precautions ahead of time. 
The BF16 version is safely stored in my other repository [Granddyser/BigLoveKleinFp8]. 
This repo will be fully restored within approximately 14 days, just like last time.



All quantized versions of [FLUX.2-klein-base-9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B) by Black Forest Labs, based on the BigLove Klein 2 finetune.

## Available Files

| File | Format | Size | Use Case |
|------|--------|------|----------|
| `bigLove_klein2_Bf16.safetensors` | BF16 | ~18 GB | Full precision, best quality |
| `bigLove_klein2_bf16_pruned.safetensors` | BF16 (pruned) | ~18 GB | Pruned weights, slightly faster |
| `bigLove_klein2_fp8_pruned.safetensors` | FP8 (pruned) | ~9 GB | Good balance of quality & VRAM |
| `bigLove_klein2_nf4.safetensors` | NF4 | ~5 GB | Low VRAM, fast inference |
| `bigLove_klein2.gguf` | GGUF | varies | For GGUF-compatible loaders |

## Usage

### ComfyUI

Place the desired model file in your `ComfyUI/models/diffusion_models/` (or `unet`) folder and select it in the appropriate loader node.

### Diffusers

```python
from diffusers import FluxPipeline
import torch

pipe = FluxPipeline.from_pretrained(
    "Granddyser/biglove-klein2-fp8",
    torch_dtype=torch.bfloat16
)
pipe.to("cuda")

image = pipe(
    prompt="your prompt here",
    num_inference_steps=4,
    guidance_scale=0.0,
).images[0]

image.save("output.png")
```

## Acknowledgments

Special thanks to SubtleShader for the motivation.



## License

FLUX.2-klein-base-9B is licensed by Black Forest Labs. Inc. under the FLUX.2-klein-base-9B Non-Commercial License. Copyright Black Forest Labs. Inc.