Instructions to use TencentARC/NVComposer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/NVComposer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TencentARC/NVComposer", 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
Commit History
-
Add pipeline tag
Verified signatureThis PR ensures the model can be found at https://huggingface.co/models?pipeline_tag=image-to-3d&sort=trendinga1c5bca -
Rename LICENSE.txt to LICENSE
Verified signature8cfa75b -
Upload LICENSE.txt
Verified signaturef6af419 -
Update README.md
Verified signaturea909324
-
Upload NVComposer-V0.1.ckpt
Verified signaturefeae09d -
Update README.md
Verified signature5fea8ef -
Update README.md
Verified signature6029dea -
Create README.md
Verified signatureda251d0 -
initial commit
Verified signature71e08d5