Instructions to use cuongdev/tonghop-v2-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v2-1 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-v2-1", 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
- Xet hash:
- 506dadd91b60bed9e607479a81f35839bc2b9ff32c71eade0298569f7f9c4958
- Size of remote file:
- 681 MB
- SHA256:
- 9c5462ac9cffec0bb4d1941b9a08a64a3b2c29532368ea638c58509762977280
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