---
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
  - quantized
  - text-to-image
  - image-generation
pipeline_tag: text-to-image
---

# BigLove Klein Collection




## 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 |
| `bigLove_klein1_fp8.safetensors` | FP8 | ~9 GB | First version, FP8 quantized |

## 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.