Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use cld07/sd3ep_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cld07/sd3ep_output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("cld07/sd3ep_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/sd3ep_output: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/cld07/sd3ep_output/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://cld07/sd3ep_output/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/cld07/sd3ep_output/resolve/main/checkpoint-3000/optimizer.bin
10 GB
- Xet hash:
- 17d6d74cd69e328177853bd4d995009ec37edc88cc0a6eae4e069af1f7f01168
- Size of remote file:
- 10 GB
- SHA256:
- 8658895c0c4451c4ccb9dada99855b23effe52d1ec4aae62182ce8b353f63b52
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