Instructions to use csssss/com2ai-klein-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use csssss/com2ai-klein-4b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("csssss/com2ai-klein-4b", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload 2 files
Browse files- .gitattributes +1 -0
- transformer/config.json +165 -0
- transformer/flux-2-klein-4b-Q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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transformer/flux-2-klein-4b-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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transformer/config.json
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{
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"_class_name": "Flux2Transformer2DModel",
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"_diffusers_version": "0.37.0.dev0",
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"_name_or_path": "black-forest-labs/FLUX.2-klein-4B",
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"attention_head_dim": 128,
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"axes_dims_rope": [
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32,
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],
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"eps": 1e-06,
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"quantization_config": {
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"add_skip_keys": true,
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]
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},
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"modules_to_not_convert": [
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"double_stream_modulation_img",
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"time_guidance_embed",
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".proj_out",
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"norm_out",
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"x_embedder",
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"double_stream_modulation_txt",
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"single_stream_modulation",
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"context_embedder"
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],
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"non_blocking": false,
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"quant_conv": false,
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"quant_method": "sdnq",
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"quantization_device": "cuda",
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"quantized_matmul_dtype": null,
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"return_device": "cuda",
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"sdnq_version": "0.1.4",
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"svd_rank": 32,
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"svd_steps": 32,
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"use_dynamic_quantization": true,
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"use_grad_ckpt": true,
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"use_quantized_matmul": false,
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"use_quantized_matmul_conv": false,
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"use_static_quantization": true,
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"use_stochastic_rounding": false,
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"use_svd": false,
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"weights_dtype": "uint4"
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},
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"rope_theta": 2000,
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"timestep_guidance_channels": 256
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}
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transformer/flux-2-klein-4b-Q8_0.gguf
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:24a812e8f9b640e21c784164ea48571d8017ca22873696f4badeeabb006d509c
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size 4300644928
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