Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_he-codex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_he-codex with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_he-codex") 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-60000/optimizer.bin from maxpmx/output_he-codex: direct link, hf CLI and curl.
- Browser
- Download file 2.89 GB
-
https://huggingface.co/maxpmx/output_he-codex/resolve/main/checkpoint-60000/optimizer.bin
- Command line
-
hf download hf://maxpmx/output_he-codex/checkpoint-60000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/maxpmx/output_he-codex/resolve/main/checkpoint-60000/optimizer.bin
2.89 GB
- Xet hash:
- 65205f6bab89e6474e52d1e7b706124fe08ed0b8ee5df23805a03f1130612062
- Size of remote file:
- 2.89 GB
- SHA256:
- 1b7bba312fe52286fc7670a984e73d9e0ba96c80fb7edd1dc567e17e3f448053
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