Granddyser/BigLoveKlein-Collection

BigLove Klein Collection

Available Files

File	Format	Size	Use Case
bigLove_klein3_Q5_K_M.gguf	GGUF	6 GB	v.3
bigLove_klein3.safetensors	BF16	18 GB	v.3
bigLove_klein3_fp8.safetensors	FP8	9 GB	v.3
klein-biglove-v2.1.safetensors	sft	na	na
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

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.