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
- Xet hash:
- 08da292230d587a5cdfdacb51900c83b7e6785ff72ac73e706ce86c433df04ea
- Size of remote file:
- 2.89 GB
- SHA256:
- 6b55358ffe168bfba45790bb58add10ed2d9f42f263899e9119ed896a3daccee
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