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:
- ccefab7bd67560f615fb9fc4e5402f208183b3d5103ee364041b8d68f94bda7d
- Size of remote file:
- 2.89 GB
- SHA256:
- 0bea7c3e5a0ae601402c59a7e4c4a8aafdf05fb80fb7cb4f7245d27f36874d9a
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