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

  • Log In
  • Sign Up

MirageML
/
lowpoly-environment

Text-to-Image
Diffusers
TensorBoard
Safetensors
English
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use MirageML/lowpoly-environment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use MirageML/lowpoly-environment with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("MirageML/lowpoly-environment", 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
lowpoly-environment / text_encoder
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
amankishore's picture
amankishore
Upload to HuggingFace
7e3f607 over 3 years ago
  • config.json
    613 Bytes
    Upload to HuggingFace over 3 years ago
  • pytorch_model.bin
    492 MB
    xet
    Upload to HuggingFace over 3 years ago