Instructions to use cuongdev/tonghop-v3-2-6000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v3-2-6000 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-v3-2-6000", 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:
- 9447783fbe0de8485ed7136c2b4e4eb16f3d10a41ffd26df58280d9fde106631
- Size of remote file:
- 681 MB
- SHA256:
- 016c561489aa544880b1bb7e66ffac9e2b719a72cab1c97e5d502d5ecfc256a6
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