Instructions to use Trelis/avatar-3500-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Trelis/avatar-3500-b2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Trelis/avatar-3500-b2", 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
- Xet hash:
- 6f0123c23e549bd0126939b92697d1ef49842c834bc00ded1fd0ec1f9d34376b
- Size of remote file:
- 3.27 GB
- SHA256:
- 5932ca6ad987609976876f0e8473b54ee286a9e62778f4152c1de736a8b98c30
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