Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_dapi-he_xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_dapi-he_xl with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_dapi-he_xl") 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-260000/optimizer.bin from maxpmx/output_dapi-he_xl: direct link, hf CLI and curl.
- Browser
- Download file 10 GB
-
https://huggingface.co/maxpmx/output_dapi-he_xl/resolve/main/checkpoint-260000/optimizer.bin
- Command line
-
hf download hf://maxpmx/output_dapi-he_xl/checkpoint-260000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/maxpmx/output_dapi-he_xl/resolve/main/checkpoint-260000/optimizer.bin
10 GB
- Xet hash:
- 1d6c3890373738f12f2d46dc8eea0d7396ea1e1dbc358fa5d40e8b124dd5318d
- Size of remote file:
- 10 GB
- SHA256:
- a1bc3505cca03ca4d276bc10ac9439f160ab325b217ef6e2186d9aafd71b7e90
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