Instructions to use cuongdev/tonghop-2000-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-2000-v2 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-2000-v2", 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 signature22072d0 -
Upload model_index.json with huggingface_hub
Verified signaturec8d0237 -
Upload folder using huggingface_hub
Verified signature88884f8 -
Upload folder using huggingface_hub
Verified signaturebd3f7bb -
Upload folder using huggingface_hub
Verified signature53eb11e -
Upload folder using huggingface_hub
Verified signature708d858 -
Upload folder using huggingface_hub
Verified signature7bd2446 -
Upload folder using huggingface_hub
Verified signature5052702 -
Upload the concept tonghop-2000-v2 embeds and token
Verified signature34be06f -
initial commit
Verified signature6cbacfe