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recoilme
/
sdxs

Text-to-Image
Diffusers
Safetensors
SdxsPipeline
sdxs
diffusion
qwen
Model card Files Files and versions
xet
Community

Instructions to use recoilme/sdxs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use recoilme/sdxs with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("recoilme/sdxs", 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 Settings
  • Draw Things
  • DiffusionBee
sdxs / tokenizer
30.1 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
recoilme's picture
recoilme
SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes)
ef2542c about 1 month ago
  • chat_template.jinja
    7.76 kB
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago
  • merges.txt
    3.35 MB
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago
  • preprocessor_config.json
    390 Bytes
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago
  • processor_config.json
    1.3 kB
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago
  • tokenizer.json
    20 MB
    xet
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago
  • tokenizer_config.json
    1.14 kB
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago
  • vocab.json
    6.72 MB
    SDXS 1.996B: looped single-stream DiT (6 in + 8 mid x2 + 6 out, 28 passes) about 1 month ago