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
Download example1.png from CHAITron/KranokThaiV1: direct link, hf CLI and curl.
- Browser
- Download file 4.8 MB
-
https://huggingface.co/CHAITron/KranokThaiV1/resolve/main/example1.png
- Command line
-
hf download hf://CHAITron/KranokThaiV1/example1.png
-
curl -L -o example1.png https://huggingface.co/CHAITron/KranokThaiV1/resolve/main/example1.png
4.8 MB

- Xet hash:
- 31e164494d2bb29310cd107e35fad7adf905b2926b39c9088573f92d8b4d64f8
- Size of remote file:
- 4.8 MB
- SHA256:
- 1205afc5478910fc3173c565cdf5570810d458133d2ee0883a2a23f12a1dfeec
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