Instructions to use ATH-MaaS/TeEFusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ATH-MaaS/TeEFusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ATH-MaaS/TeEFusion", 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
| Copyright (C) 2025 AIDC-AI | |
| Licensed under the Attribution-NonCommercial 4.0 International License (the "License"). | |
| The model was trained based on the following model: | |
| stable-diffusion-3-medium-diffusers (https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers), | |
| license: STABILITY AI NON-COMMERCIAL RESEARCH COMMUNITY LICENSE AGREEMENT (https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers/blob/main/LICENSE). | |
| This Stability AI Model is licensed under the Stability AI Non-Commercial Research Community License, Copyright (c) Stability AI Ltd. All Rights Reserved. | |