| --- |
| 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 |
|
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|
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|
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|
|
| ## 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. |
