Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_dapi-he_e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_dapi-he_e4 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_dapi-he_e4") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stable-diffusion-v1-5/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 97fba237804c7a7cb1cc6ad41a50cf269b43b57abcc24ab47914a919158ea2fd
- Size of remote file:
- 1.45 GB
- SHA256:
- 4983bd80dcdb307cced60024d84a98be93440198dd68e2efac12b00d1c09ec8b
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