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", 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
File size: 855 Bytes
ca8b3a9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"_class_name": "MageFlowPipeline",
"_mage_flow_version": "0.1.0",
"_quantization": {
"text_encoder": "comfy_kitchen_nvfp4_fp8_mixed",
"transformer": "mage_flow_nvfp4_balanced_v1"
},
"_text_encoder_path": "text_encoder",
"_transformer_variant": {
"name": "balanced",
"native_runtime_defaults": {
"activation_scale_search": "amax",
"down_activation_scale_multiplier": 0.75,
"up_activation_scale_multiplier": 1.0
}
},
"_vae_source": "vae/diffusion_pytorch_model.safetensors",
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"text_encoder": [
"transformers",
"Qwen3VLForConditionalGeneration"
],
"tokenizer": [
"transformers",
"AutoProcessor"
],
"transformer": [
"mage_flow",
"MageFlow"
],
"vae": [
"mage_flow",
"MageVAE"
]
}
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