Instructions to use xyxingx/GR3EN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xyxingx/GR3EN with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xyxingx/GR3EN", 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
Access the GR3EN model weights
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
GR3EN β License & Terms of Use
By requesting access to this repository you acknowledge and agree to the
following:
- License. The GR3EN fine-tuned weights are released under the
Apache License 2.0. The base model (Wan2.2-TI2V-5B) and SAM 2 are
redistributed under their respective licenses (Apache-2.0), which you
also agree to comply with. - Intended use. The model is intended for research and creative
applications: relighting of videos and 3D scenes. - Prohibited use. You will not use the model to produce content that
is unlawful, deceptive (including undisclosed synthetic or edited
media of real people or events), harassing, or that infringes the
privacy or intellectual-property rights of others. - Attribution. If you use the model in academic work, you agree to
cite the GR3EN paper (SIGGRAPH 2026). - No warranty. The model is provided "AS IS", without warranties or
conditions of any kind, as stated in the Apache License 2.0.
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