Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Instructions to use dyamagishi/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dyamagishi/output with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("dyamagishi/output") pipe = StableDiffusionControlNetPipeline.from_pretrained( "cagliostrolab/animagine-xl-3.1", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- c34e26a390f7c5b0439c4db1c1c2bfd0cf58f02d54a8a8aad1ed6f7ad9e71ee8
- Size of remote file:
- 6.42 MB
- SHA256:
- 6cb07a18560a09cd7a39b75f33b5a269fa53b484b62e15441226ce4c3f24888c
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