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 diffusion_pytorch_model.safetensors from jxAIbot/init_train: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/jxAIbot/init_train/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://jxAIbot/init_train/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/jxAIbot/init_train/resolve/main/diffusion_pytorch_model.safetensors
1.45 GB
- Xet hash:
- fd8cad6001dd5e6716b52ee1ee37019f9b8d29a7d9e9f599a84e52ad2cbd35e7
- Size of remote file:
- 1.45 GB
- SHA256:
- 7d7003e2ba75af9f1e67150bb338350e9234c1c0e70eb6546574fcc2b44d1167
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