Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_smlm_328 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_smlm_328 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_smlm_328") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_control.png from maxpmx/output_smlm_328: direct link, hf CLI and curl.
- Browser
- Download file 110 kB
-
https://huggingface.co/maxpmx/output_smlm_328/resolve/main/image_control.png
- Command line
-
hf download hf://maxpmx/output_smlm_328/image_control.png
-
curl -L -o image_control.png https://huggingface.co/maxpmx/output_smlm_328/resolve/main/image_control.png
110 kB
