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Runware
/
sd-x2-latent-upscaler

Diffusers
Safetensors
StableDiffusionLatentUpscalePipeline
stable-diffusion
Model card Files Files and versions
xet
Community

Instructions to use Runware/sd-x2-latent-upscaler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Runware/sd-x2-latent-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("Runware/sd-x2-latent-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
sd-x2-latent-upscaler / text_encoder
985 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Munaza10's picture
Munaza10
Upload folder using huggingface_hub
8aed0c2 verified 10 months ago
  • config.json
    645 Bytes
    Upload 7 files 11 months ago
  • model.safetensors
    492 MB
    xet
    Upload folder using huggingface_hub 10 months ago
  • pytorch_model.bin
    492 MB
    xet
    Upload folder using huggingface_hub 10 months ago