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
Add pipeline tag, library name, link to code
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by nielsr HF Staff - opened
README.md
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license: cc-by-nc-nd-4.0
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---
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license: cc-by-nc-nd-4.0
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pipeline_tag: text-to-image
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library_name: diffusers
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---
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This repository contains the Loopfree model presented in [One-Way Ticket: Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models](https://huggingface.co/papers/2505.21960).
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Loopfree is a distilled T2I model which allows fast image generation.
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More information regarding the code and architecture can be found at: https://github.com/sen-mao/Loopfree
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