Text-to-Image
Diffusers
Safetensors
MageFlowPipeline
ajh
mage-flow
mage-flow-nvfp4-balanced-ajh
nvfp4
blackwell
qwen3-vl
quantization
balanced
Instructions to use ajh-code/Mage-Flow-NVFP4-Balanced-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-Balanced-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-Balanced-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

- Xet hash:
- bfc43bcdee88b1c2a0d1c8000fad6184ff8875e34c501b2805c88aafcfad9ced
- Size of remote file:
- 1.81 MB
- SHA256:
- 74a7301c3856cb57f6d6120b2def621e8327345306c0599507e9607b7b8a1256
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