Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use watsydney/animagine-sample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use watsydney/animagine-sample with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("watsydney/animagine-sample") pipe = StableDiffusionControlNetPipeline.from_pretrained( "cagliostrolab/animagine-xl-3.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from watsydney/animagine-sample: direct link, hf CLI and curl.
- Browser
- Download file 2.55 GB
-
https://huggingface.co/watsydney/animagine-sample/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://watsydney/animagine-sample/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/watsydney/animagine-sample/resolve/main/checkpoint-2000/optimizer.bin
2.55 GB
- Xet hash:
- 332c8bd6337189659000df6fc73cf4ec567b2f96eb4ea43eced7897679506c40
- Size of remote file:
- 2.55 GB
- SHA256:
- d4f24b47b6cd61160bf9a82003ce6587792b0a8145de586bc64b9312f585d937
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