Instructions to use TrizZZZZ/tmp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TrizZZZZ/tmp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TrizZZZZ/tmp", 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
-
Update README.md
Verified signature4e910b0
-
Move model index to bernini subdirectory
Verified signaturec072ec1 -
Move model shards to bernini subdirectory
Verified signature32fcf41 -
Add files using upload-large-folder tool
Verified signature41c0edd -
Delete bernini
Verified signature512288e
-
Upload folder using huggingface_hub
Verified signature549a73f -
Upload folder using huggingface_hub
Verified signature78dfa77 -
Upload folder using huggingface_hub
Verified signature163af08 -
Upload folder using huggingface_hub
Verified signature94ee75e -
Upload folder using huggingface_hub
Verified signaturec582beb -
initial commit
Verified signature54104a5