Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use sylviam00/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sylviam00/output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("sylviam00/output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-10000/optimizer.bin from sylviam00/output: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/sylviam00/output/resolve/main/checkpoint-10000/optimizer.bin
- Command line
-
hf download hf://sylviam00/output/checkpoint-10000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sylviam00/output/resolve/main/checkpoint-10000/optimizer.bin
10 GB
- Xet hash:
- 1ecc2d669f38472d92faeb05e91dc2b91d95ad1413225831dd514a0eefdb3904
- Size of remote file:
- 10 GB
- SHA256:
- 3efa7f81870edec59aad6d8ff8807dace1111e92d44764c73c70df4b605399c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.