Instructions to use cuongdev/tonghop-v3-5000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tonghop-v3-5000 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-v3-5000", 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:
- cb3acd2a995eec3f3230fdb5d46e4ef1aff19bce01df6f1b9a3aeb823132ff6b
- Size of remote file:
- 681 MB
- SHA256:
- 4072a86a2f629a6f0977d3d40d01ecc5c385077a58cda58a04a1e346ddcfd8b8
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