Instructions to use cuongdev/test-tonghop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/test-tonghop 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/test-tonghop", 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:
- e8ca93fa89242f3e5f5063204bc62210b27ff6d974f9fd4cbd2797552b75bd6e
- Size of remote file:
- 2.61 GB
- SHA256:
- 27f6523a5fd4350f75d95150d466a1f91712fa773b4a13f811afbb2e49978a0a
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