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-230000/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-230000/optimizer.bin
- Command line
-
hf download hf://maxpmx/output_he-codex_512/checkpoint-230000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/maxpmx/output_he-codex_512/resolve/main/checkpoint-230000/optimizer.bin
2.89 GB
- Xet hash:
- e1cd3e7d6f0276e8219bc8a51dfe960f8fcba63813e22a5ebc09acea5495f098
- Size of remote file:
- 2.89 GB
- SHA256:
- 890d789cbde795997a238d0625407cd4e2c95b38e7a3799ac6d8b0c70263f98f
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