Instructions to use cuongdev/tonghop-v2-4000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v2-4000 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/tonghop-v2-4000", 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 signature17c535a -
Upload model_index.json with huggingface_hub
Verified signature0c7b0e9 -
Upload folder using huggingface_hub
Verified signaturebdbb2f0 -
Upload folder using huggingface_hub
Verified signature2ce5f9f -
Upload folder using huggingface_hub
Verified signature0631c46 -
Upload folder using huggingface_hub
Verified signature9d7df76 -
Upload folder using huggingface_hub
Verified signaturec1a1ddb -
Upload folder using huggingface_hub
Verified signaturec4749a2 -
Upload the concept tonghop-v2-4000 embeds and token
Verified signature4e26d32 -
initial commit
Verified signaturedbce230