Instructions to use cuongdev/tonghop2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop2 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/tonghop2", 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:
- d6c2d8a2e32bf65f866103408e9494bb417ff731ffca93d0079726f78f393110
- Size of remote file:
- 3.46 GB
- SHA256:
- 1c7b1f7841e52491dcc3c45bd98a24c366f6bbf963f314103c8b645e5570e121
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