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WaveCut
/
ERNIE-Image-Turbo-SDNQ-uint4-static

Text-to-Image
Diffusers
Safetensors
ErnieImagePipeline
ernie-image
sdnq
quantized
uint4
static
quantized-matmul
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WaveCut/ERNIE-Image-Turbo-SDNQ-uint4-static", 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
ERNIE-Image-Turbo-SDNQ-uint4-static / pe
2.51 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
WaveCut's picture
WaveCut
Enable quantized matmul and refresh PE-off benchmark
687a1fe verified 3 days ago
  • config.json
    5.16 kB
    Add files using upload-large-folder tool 3 days ago
  • generation_config.json
    158 Bytes
    Add files using upload-large-folder tool 3 days ago
  • model.safetensors
    2.51 GB
    xet
    Add files using upload-large-folder tool 3 days ago
  • quantization_config.json
    4 kB
    Enable quantized matmul and refresh PE-off benchmark 3 days ago