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-3000/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-3000/optimizer.bin
- Command line
-
hf download hf://cld07/sd4_output/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/cld07/sd4_output/resolve/main/checkpoint-3000/optimizer.bin
10 GB
- Xet hash:
- 713c3245a129dcc55e164089de02c2d7508c7eb086eac95540ada331150ccc1f
- Size of remote file:
- 10 GB
- SHA256:
- 85689a4ce2615ee5e5c8ec82246e0a35dc424b9d50233664a71c978cc5d83d18
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