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:
- c0959b1db60e6757c314945ee9eaa8436fc47a78e7a09ea085f940dee93f3387
- Size of remote file:
- 3.46 GB
- SHA256:
- 1b252408708245e4380b870f586e3862c327f94ca5e401b2724d602664608b23
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