Instructions to use bigshanedogg/Mage-Flow-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bigshanedogg/Mage-Flow-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("bigshanedogg/Mage-Flow-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
File size: 183 Bytes
695c752 | 1 2 3 4 5 6 7 8 | {
"_class_name": "AutoencoderMageVAE",
"_diffusers_version": "0.39.0",
"auto_map": {
"AutoModel": "autoencoder_mage_vae.AutoencoderMageVAE"
},
"sample_posterior": true
} |