Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use msy78/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use msy78/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("msy78/model_out") 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-2500/optimizer.bin from msy78/model_out: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/msy78/model_out/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://msy78/model_out/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/msy78/model_out/resolve/main/checkpoint-2500/optimizer.bin
10 GB
- Xet hash:
- 1f1d37776ca4720f88f6bf712201389d64f76d19aa26e08bfdaa70b660f95281
- Size of remote file:
- 10 GB
- SHA256:
- d38ec59aaffcd85736ba656cc85b8168fdab3570dbd18f36e255db1fd4964a22
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