Instructions to use cuongdev/tonghop-v5-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v5-1 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-v5-1", 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:
- a51aad2d602f2c50e60e39cc49e325ef54b9684d406a5c19a291658be44c41f8
- Size of remote file:
- 3.46 GB
- SHA256:
- 92ba03e82e5e8e3ad57e33e677c827f0089b6cb7a103ae32a215e0ba2b93c4c5
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