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-3000/optimizer.bin from sylviam00/output2: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/sylviam00/output2/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://sylviam00/output2/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/sylviam00/output2/resolve/main/checkpoint-3000/optimizer.bin
10 GB
- Xet hash:
- 6d46d42378145ad3cd58e201bf317c4e838b7314252faea90289927fde8bee54
- Size of remote file:
- 10 GB
- SHA256:
- e35830334c88ae66df8b48718c85079c6c42cc0effdaa4d56b77bb2d817cb9f9
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