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-12000/scaler.pt from msy78/model_out: direct link, hf CLI and curl.
- Browser
- Download file 557 Bytes
-
https://huggingface.co/msy78/model_out/resolve/main/checkpoint-12000/scaler.pt
- Command line
-
hf download hf://msy78/model_out/checkpoint-12000/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/msy78/model_out/resolve/main/checkpoint-12000/scaler.pt
557 Bytes
- Xet hash:
- 1690c1c15ceb3327a217719cd2b68493ea1f9f98e576b3c2ff6eba1986e5081f
- Size of remote file:
- 557 Bytes
- SHA256:
- 5a61fa205a26ba2985bf4e0e515406104e0b0e5d6ebd86749ac9477a519632ca
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