Text-to-Image
Diffusers
Safetensors
MageFlowPipeline
ajh
mage-flow
mage-flow-nvfp4-ajh
nvfp4
blackwell
qwen3-vl
quantization
Instructions to use ajh-code/Mage-Flow-NVFP4-AJH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ajh-code/Mage-Flow-NVFP4-AJH with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ajh-code/Mage-Flow-NVFP4-AJH", 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
| """MageFlow — standalone text-to-image + image-edit inference.""" | |
| from .models.mage_flow import ModelConfig | |
| from .pipeline import ( | |
| MageFlowPipeline, | |
| generate_edits, | |
| generate_images, | |
| load_from_repo, | |
| ) | |
| __all__ = [ | |
| "MageFlowPipeline", | |
| "generate_images", | |
| "generate_edits", | |
| "load_from_repo", | |
| "ModelConfig", | |
| ] | |
| __version__ = "0.1.0" | |