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codeShare
/
FLUX.2-klein-AIO-SDNQ-4bit-dynamic

Text-to-Image
Diffusers
Safetensors
English
Flux2KleinPipeline
flux
flux2-klein
quantization
sdnq
4-bit precision
dynamic-quantization
low-vram
google-colab
t4
batch-image-edit
background-removal
Model card Files Files and versions
xet
Community

Instructions to use codeShare/FLUX.2-klein-AIO-SDNQ-4bit-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use codeShare/FLUX.2-klein-AIO-SDNQ-4bit-dynamic with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("codeShare/FLUX.2-klein-AIO-SDNQ-4bit-dynamic", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
FLUX.2-klein-AIO-SDNQ-4bit-dynamic / vae
168 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
codeShare's picture
codeShare
Upload SDNQ Flux2 Klein fine-tuned transformer
41c7b55 verified about 1 month ago
  • config.json
    968 Bytes
    Upload SDNQ Flux2 Klein fine-tuned transformer about 1 month ago
  • diffusion_pytorch_model.safetensors
    168 MB
    xet
    SDNQ 4-bit dynamic quantized FLUX.2-klein-4B (official repo, matches Disty0) about 1 month ago