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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 56fa766bac1d06162ce1ca93793797d1a0f1932cd5f0c11f1847537cfc74d1e3
- Size of remote file:
- 1.45 GB
- SHA256:
- 21dea33891ffa7a5aaee303669893c7c254443c71efc2f8ee49a1a010c7e6d6d
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