Instructions to use cuongdev/tndchi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuongdev/tndchi 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/tndchi", 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:
- 7071ab5c9462ba2db236705849f8cf551e78d733928d7fe8b99d77fc4ff07ff2
- Size of remote file:
- 2.61 GB
- SHA256:
- 2d04971359a851d766e849d8aeddb8c75b6bac2726bbce2c0b5b31818a4d3d4f
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