Text-to-Image
Diffusers
Safetensors
MageFlowPipeline
ajh
mage-flow
mage-flow-nvfp4-quality-ajh
nvfp4
blackwell
qwen3-vl
quantization
quality
Instructions to use ajh-code/Mage-Flow-NVFP4-Quality-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-Quality-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-Quality-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
Add files using upload-large-folder tool
Browse files- examples/comparison_bf16.png +3 -0
- examples/comparison_quality_nvfp4.png +3 -0
- examples/cyborg_stargaze_quality.png +3 -0
- runtime/libmage_nvfp4_linear.so +3 -0
- runtime/libmage_nvfp4_torch_op.so +3 -0
- text_encoder/model.safetensors +3 -0
- transformer/diffusion_pytorch_model-00001-of-00004.safetensors +3 -0
- transformer/diffusion_pytorch_model-00002-of-00004.safetensors +3 -0
- transformer/diffusion_pytorch_model-00003-of-00004.safetensors +3 -0
- transformer/diffusion_pytorch_model-00004-of-00004.safetensors +3 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
examples/comparison_bf16.png
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examples/comparison_quality_nvfp4.png
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examples/cyborg_stargaze_quality.png
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runtime/libmage_nvfp4_linear.so
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