Instructions to use senmaonk/loopfree-sd2.1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use senmaonk/loopfree-sd2.1-base 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-sd2.1-base", 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 Settings
- Draw Things
- DiffusionBee
metadata
license: cc-by-nc-nd-4.0
pipeline_tag: text-to-image
library_name: diffusers
This repository contains the Loopfree model presented in One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models. Loopfree is a distilled T2I model which allows fast image generation.
More information regarding the code and architecture can be found at: https://github.com/sen-mao/Loopfree