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", 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
| # Third-party notices | |
| ## Microsoft Mage and Mage-Flow | |
| This package targets `microsoft/Mage-Flow` and includes the minimal Python | |
| inference sources under `vendor/mage_flow/`. | |
| - Upstream: <https://github.com/microsoft/Mage> | |
| - Pinned source commit: `df7f84d9f8fc991d189d929f03cff623b430a4a2` | |
| - License: MIT | |
| - License copy: `LICENSE` and `licenses/MAGE-MIT.txt` | |
| The Microsoft base checkpoint is not duplicated in this package. The | |
| portable loader downloads the required transformer, VAE, scheduler, and | |
| configuration files from `microsoft/Mage-Flow`, or accepts a local copy. | |
| ## Qwen3-VL and the mixed NVFP4 checkpoint | |
| The packaged text encoder derives from `Qwen/Qwen3-VL-4B-Instruct` and is an | |
| exact copy of the learned-rounded mixed checkpoint published at | |
| `InsecureErasure/Qwen3-VL-4B-Instruct-NVFP4`. | |
| - Quantized upstream: | |
| <https://huggingface.co/InsecureErasure/Qwen3-VL-4B-Instruct-NVFP4> | |
| - Pinned quantized revision: | |
| `cf080d6af667f5f4949295bd09a1f72a218fe0ee` | |
| - Base model: <https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct> | |
| - License: Apache-2.0 | |
| - License copy: `licenses/QWEN-APACHE-2.0.txt` | |
| - Packaged artifact SHA-256: | |
| `719906b435800757d22013d3d475a4853d59b779b022669fa8b8a193b85d0f41` | |
| The quantized checkpoint uses the ComfyUI `comfy_quant` representation and | |
| executes packed projections through `comfy-kitchen`. | |