Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use c-eshih/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use c-eshih/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("c-eshih/models-moved") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dd7c5697e7c9b6389e80b0e7660ea7ce90fa2c5f7d3bb23b8e0418b2b3834871
- Size of remote file:
- 2.89 GB
- SHA256:
- d3c294a09fd736e03438c86ab26a69ddcaca71f1ff1c7e4748c61a57ace1c1b6
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