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
Add pipeline tag to metadata
#1
by nielsr HF Staff - opened
README.md
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---
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license: other
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license_name: cc-by-nc-4.0-and-flux-non-commercial-2.1
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license_link: LICENSE
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base_model: black-forest-labs/FLUX.2-klein-base-9B
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base_model_relation: adapter
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language:
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- en
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tags:
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- computer-vision
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- surface-normal-estimation
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- flux
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- lora
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- safetensors
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inference: false
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---
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# TransNormal-2
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}
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```
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Questions: [@longxiang-ai](https://github.com/longxiang-ai) or [GitHub Issues](https://github.com/longxiang-ai/TransNormal-2/issues).
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---
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base_model: black-forest-labs/FLUX.2-klein-base-9B
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language:
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- en
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license: other
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license_name: cc-by-nc-4.0-and-flux-non-commercial-2.1
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license_link: LICENSE
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tags:
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- computer-vision
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- surface-normal-estimation
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- flux
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- lora
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- safetensors
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base_model_relation: adapter
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inference: false
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pipeline_tag: image-to-image
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---
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# TransNormal-2
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}
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```
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Questions: [@longxiang-ai](https://github.com/longxiang-ai) or [GitHub Issues](https://github.com/longxiang-ai/TransNormal-2/issues).
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