Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use sylviam00/output2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sylviam00/output2 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("sylviam00/output2") 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-1000/optimizer.bin from sylviam00/output2: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/sylviam00/output2/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://sylviam00/output2/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sylviam00/output2/resolve/main/checkpoint-1000/optimizer.bin
10 GB
- Xet hash:
- 372dfccf56e63b1f4026a1bc22cb7c42a359bec4f65fa3091a0b66bc2e9d61fa
- Size of remote file:
- 10 GB
- SHA256:
- c49a1fb29e0e6520336bb506cc6de5ebbc463b629e62d99e85121858fe547dc7
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