Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use ishapuri/our_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ishapuri/our_models with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ishapuri/our_models") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8a0d3ef9efef94e8cc09f2e6d22df80d1eae37f2500c2b5b40bffff113ca7d62
- Size of remote file:
- 1.46 GB
- SHA256:
- 759d7372f92df5148f1297ee96a93f6376a043f7a4c6e30059e8917e1a6b40b1
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