Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
Instructions to use jxAIbot/init_train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jxAIbot/init_train with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jxAIbot/init_train") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download images_1.png from jxAIbot/init_train: direct link, hf CLI and curl.
- Browser
- Download file 1.6 MB
-
https://huggingface.co/jxAIbot/init_train/resolve/main/images_1.png
- Command line
-
hf download hf://jxAIbot/init_train/images_1.png
-
curl -L -o images_1.png https://huggingface.co/jxAIbot/init_train/resolve/main/images_1.png
1.6 MB

- Xet hash:
- 8a44649c5f83cc7e6d35642f6bb1faaae131bb7d69ee87223c62c4bcaa096c9f
- Size of remote file:
- 1.6 MB
- SHA256:
- 4f0cc4aced5af231e22b4d4c2c84a691ba2207816a34c38c109b99aac00808db
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