Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use sylvia-boxue/models_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sylvia-boxue/models_v2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("sylvia-boxue/models_v2") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from sylvia-boxue/models_v2: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/sylvia-boxue/models_v2/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://sylvia-boxue/models_v2/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sylvia-boxue/models_v2/resolve/main/checkpoint-2000/optimizer.bin
2.89 GB
- Xet hash:
- 3319903b3f3e50092788c601b5325916961d444816bb12ebb3564e042c9ed704
- Size of remote file:
- 2.89 GB
- SHA256:
- 11b4aef4ec6466b9992ddd39fb9ce96526a26fec14b646e8719bf15cebc5dfaf
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