Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use cld07/sd4_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cld07/sd4_output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("cld07/sd4_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-8000/optimizer.bin from cld07/sd4_output: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/cld07/sd4_output/resolve/main/checkpoint-8000/optimizer.bin
- Command line
-
hf download hf://cld07/sd4_output/checkpoint-8000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/cld07/sd4_output/resolve/main/checkpoint-8000/optimizer.bin
10 GB
- Xet hash:
- 5e65f158b70af32adaf9b1c9229a5011decaba4df5495cfa830e4a92faf2583e
- Size of remote file:
- 10 GB
- SHA256:
- bcc595473622562ac7428506912a260831b205b4d682e04ef945e6ad397e6932
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