Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use maxpmx/output_he-codex_4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use maxpmx/output_he-codex_4k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("maxpmx/output_he-codex_4k") 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 images_3.png from maxpmx/output_he-codex_4k: direct link, hf CLI and curl.
- Browser
- Download file 2.35 MB
-
https://huggingface.co/maxpmx/output_he-codex_4k/resolve/main/images_3.png
- Command line
-
hf download hf://maxpmx/output_he-codex_4k/images_3.png
-
curl -L -o images_3.png https://huggingface.co/maxpmx/output_he-codex_4k/resolve/main/images_3.png
2.35 MB

- Xet hash:
- 430d82347edf3f9cac9dd7b56ac80401aa62d8a5a7f8ad95cd337fa127f738e4
- Size of remote file:
- 2.35 MB
- SHA256:
- 6157eb250f0783a11d6d661298d8c2ab186514da774362cee54872060837d8b3
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