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pcuenq
/
k-upscaler

Diffusers
StableDiffusionUpscalerPipeline
Model card Files Files and versions
xet
Community
1

Instructions to use pcuenq/k-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use pcuenq/k-upscaler with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("pcuenq/k-upscaler", 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
k-upscaler
3.54 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
pcuenq's picture
pcuenq HF Staff
patrickvonplaten's picture
patrickvonplaten
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#1)
30df2cd about 3 years ago
  • feature_extractor
    Add other components from SD pipeline. over 3 years ago
  • safety_checker
    Add other components from SD pipeline. over 3 years ago
  • scheduler
    Add scheduler (discrete Euler for now) over 3 years ago
  • text_encoder
    Add other components from SD pipeline. over 3 years ago
  • tokenizer
    Add other components from SD pipeline. over 3 years ago
  • vae
    Add vae over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    231 Bytes
    Update README over 3 years ago
  • config_laion_text_cond_latent_upscaler_2.json
    1.29 kB
    Add configuration and weights. over 3 years ago
  • laion_text_cond_latent_upscaler_2_1_00470000_slim.pth
    1.49 GB
    xet
    Add configuration and weights. over 3 years ago
  • model_index.json
    497 Bytes
    Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#1) about 3 years ago