Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

philschmid
/
stable-diffusion-v1-4-endpoints

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
endpoints-template
Model card Files Files and versions
xet
Community
4

Instructions to use philschmid/stable-diffusion-v1-4-endpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use philschmid/stable-diffusion-v1-4-endpoints with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("philschmid/stable-diffusion-v1-4-endpoints", 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
stable-diffusion-v1-4-endpoints / scheduler
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
philschmid's picture
philschmid
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
d06b43a over 3 years ago
  • .ipynb_checkpoints
    add handler over 3 years ago
  • scheduler_config.json
    233 Bytes
    Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1) over 3 years ago