Instructions to use CHAITron/KranokThaiV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CHAITron/KranokThaiV1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CHAITron/KranokThaiV1", 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:
- a60c93c3e26341b43ea8b07280575621eeb047e3e2d73cc80fa4f6a447490b69
- Size of remote file:
- 4.62 MB
- SHA256:
- 7fb3d5293d4f2ad0a2eef5abc094fb21aa620f43f6ee391571f9f4ee4d499513
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