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
| TransNormal-2 | |
| Copyright (c) 2026 TransNormal-2 Authors | |
| This model is a modified derivative of FLUX.2 [klein] base 9B, developed by Black | |
| Forest Labs Inc. TransNormal-2 adds task-specific LoRA adapters, a Local | |
| Continuity Module, a Geometric Refinement Module, and configuration for | |
| single-step surface normal estimation. The original FLUX base model is not | |
| included in this distribution. This project is not endorsed by Black Forest Labs. | |
| Required FLUX Attribution Notice: | |
| This FLUX Model is licensed by Black Forest Labs Inc. under the FLUX Non-Commercial License. Copyright Black Forest Labs Inc. IN NO EVENT SHALL BLACK FOREST LABS INC. BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL. | |
| The complete upstream terms accompany this release in | |
| licenses/FLUX-NON-COMMERCIAL.md. The authors' additional license is described in | |
| LICENSE and licenses/CC-BY-NC-4.0.txt. | |