Instructions to use cuongdev/tiendanmoi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tiendanmoi with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuongdev/tiendanmoi", 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 3 files
Verified signature3403020 -
Upload folder using huggingface_hub
Verified signaturefd402d3 -
Upload model_index.json with huggingface_hub
Verified signature4c3e4e9 -
Upload folder using huggingface_hub
Verified signature2dc2495 -
Upload folder using huggingface_hub
Verified signature2a83b07 -
Upload folder using huggingface_hub
Verified signature256c159 -
Upload folder using huggingface_hub
Verified signaturebe411a8 -
Upload folder using huggingface_hub
Verified signaturec7334cb -
Upload folder using huggingface_hub
Verified signature72433f9 -
Upload the concept tiendanmoi embeds and token
Verified signature3040be9 -
initial commit
Verified signaturee99661e