Instructions to use cuongdev/tonghop-v3-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v3-2000 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-v3-2000", 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:
- 4acf563ede6d4c6925af0ea4a204c45a8453e2f8db0d99e8b90b72257b738133
- Size of remote file:
- 681 MB
- SHA256:
- 310d9a9fbf572f92470bfd4b9e4fc24a44be09ed9a26517928b9719b5f030662
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