Instructions to use matgu23/abtrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matgu23/abtrl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matgu23/abtrl", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 19ed61a8e10e959ae4c58a72abe718763a69fefc740c4e835f8071a72c503acb
- Size of remote file:
- 246 MB
- SHA256:
- 6a5dfe53feb915b83440378bb2feb5dcbd47f807d51108092c0b4eaf149acd84
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