Image-to-Image
Safetensors
English
computer-vision
surface-normal-estimation
monocular-geometry-estimation
transparent-objects
rectified-flow
flux
lora
Instructions to use Longxiang-ai/TransNormal-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
File size: 546 Bytes
e217230 | 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 | {
"model_name": "TransNormal-2",
"task": "normal",
"base_model": "black-forest-labs/FLUX.2-klein-base-9B",
"lora": {
"adapter_name": "core_predictor",
"rank": 256,
"alpha": 256
},
"grm": {
"hidden_channels": 64,
"edge_channels": 32,
"num_blocks": 4,
"use_rgb": true,
"anchor_radius": 4,
"anchor_eps": 0.01,
"residual_scale": 0.15,
"residual_clip_deg": 5.0,
"initial_alpha": 0.05
},
"inference": {
"single_step": true,
"prompt": "",
"recommended_dtype": "bfloat16"
}
}
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