Instructions to use TencentARC/GenCompositor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/GenCompositor 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/GenCompositor", 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
Download model/latest from TencentARC/GenCompositor: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/TencentARC/GenCompositor/resolve/main/model/latest
- Command line
-
hf download hf://TencentARC/GenCompositor/model/latest
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curl -L -o latest https://huggingface.co/TencentARC/GenCompositor/resolve/main/model/latest
13 Bytes
| pytorch_model |