Text-to-Image
Diffusers
Safetensors
MageFlowPipeline
image-generation
image-editing
diffusion
rectified-flow
mage-flow
Instructions to use microsoft/Mage-Flow-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use microsoft/Mage-Flow-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("microsoft/Mage-Flow-Turbo", 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
Mage Flow Turbo Review
#3
by nafishasan60 - opened
Mage-Flow Turbo is extremely fast and can generate a large number of images in a very short time, which is its main advantage. However, the overall image quality does not currently compete with models such as Krea 2 or Z-Image Turbo. In photorealistic generations, faces are often malformed or lack convincing detail, and adding a second low-denoise sampling pass did not produce a noticeable improvement. The model is useful for rapid bulk generation and idea exploration, but it needs better facial anatomy, realism, and fine-detail quality to be competitive for final production work.