Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_he-codex_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_he-codex_512 with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_he-codex_512") 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 checkpoint-100000/optimizer.bin from maxpmx/output_he-codex_512: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/maxpmx/output_he-codex_512/resolve/main/checkpoint-100000/optimizer.bin
- Command line
-
hf download hf://maxpmx/output_he-codex_512/checkpoint-100000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/maxpmx/output_he-codex_512/resolve/main/checkpoint-100000/optimizer.bin
2.89 GB
- Xet hash:
- 551f1dda2ed9585e7f84fe3455f4322d6fa1d711f517b4681ee3d81b22db82bf
- Size of remote file:
- 2.89 GB
- SHA256:
- 1b2096e4d31e9cc349de128aba6a44f671fb0528a159a0a9a060e6a97ff54853
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