Text-to-Image
Diffusers
Safetensors
MageFlowPipeline
image-generation
image-editing
diffusion
rectified-flow
mage-flow
Instructions to use SceneWorks/Mage-Flow-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SceneWorks/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("SceneWorks/Mage-Flow-Base", torch_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
- Xet hash:
- defc996048afaf8995bc6d1a2f834d0a7fa36e8df9eb779e7c019309005ee187
- Size of remote file:
- 3.91 GB
- SHA256:
- 046296a2a387efb43b0c997d5833c789604d168834f6e0d3064bf7bb13d002a6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.