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
Commit History
-
Upload folder using huggingface_hub
7f3300a -
Upload model_index.json with huggingface_hub
e1b3d6d -
Upload folder using huggingface_hub
dddd972 -
Upload folder using huggingface_hub
852854b -
Upload folder using huggingface_hub
3b829f9 -
Upload folder using huggingface_hub
0b40d93 -
Upload folder using huggingface_hub
64b03d6 -
Upload folder using huggingface_hub
d3901e7 -
Upload folder using huggingface_hub
fa3a266 -
Upload the concept abtrl embeds and token
4d6743a -
initial commit
6a80c45