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

  • Log In
  • Sign Up

senmaonk
/
loopfree-sd1.5

Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Model card Files Files and versions
xet
Community
2

Instructions to use senmaonk/loopfree-sd1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use senmaonk/loopfree-sd1.5 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("senmaonk/loopfree-sd1.5", 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

This model implements the method described in the paper One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models.

Github repository: https://github.com/sen-mao/Loopfree

Downloads last month
2
Inference Providers NEW
Text-to-Image
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Paper for senmaonk/loopfree-sd1.5

One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models

Paper • 2505.21960 • Published May 28, 2025 • 5
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs