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:
- 2b579fe10983de968ef61a2f98e39047b0bcea6e4739c33c68ec82fee6be9889
- Size of remote file:
- 2.89 GB
- SHA256:
- 26fdfa160a4ad023b0bbd7bba859a0f166a9ae3958a34e01794806d692b40e29
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