Instructions to use cuongdev/tnmthu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tnmthu 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/tnmthu", 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
Verified signature33b1340 -
Upload model_index.json with huggingface_hub
Verified signaturef5fbc2d -
Upload folder using huggingface_hub
Verified signaturecf81823 -
Upload folder using huggingface_hub
Verified signature08fde7f -
Upload folder using huggingface_hub
Verified signature35a85d1 -
Upload folder using huggingface_hub
Verified signature9f13bd2 -
Upload folder using huggingface_hub
Verified signature675846a -
Upload folder using huggingface_hub
Verified signaturefb1022e -
Upload the concept tnmthu embeds and token
Verified signaturee13d899 -
initial commit
Verified signature4c8d1b7