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-8000/optimizer.bin from sylviam00/output2: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/sylviam00/output2/resolve/main/checkpoint-8000/optimizer.bin
- Command line
-
hf download hf://sylviam00/output2/checkpoint-8000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sylviam00/output2/resolve/main/checkpoint-8000/optimizer.bin
10 GB
- Xet hash:
- ca589bebe0833eb73939ac0ef3ea9622eec145b21cd3c2dd2fe1c6c7be329d16
- Size of remote file:
- 10 GB
- SHA256:
- d93bed4bbfdcaec91b9255fb821ca7a5eca17670f871728fb81f91c24967f6d0
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