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:
- 4d9f29ee5db15a3fe393629ef8a31f8c2257fba28590385b78ebf553215f3da5
- Size of remote file:
- 1.45 GB
- SHA256:
- 416498959a86fb94527add8b352f7093d0c0f6a7893435fd4f19742427f8d1ca
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