Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use Jieya/model_out_canny_captioned_mountain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jieya/model_out_canny_captioned_mountain with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Jieya/model_out_canny_captioned_mountain") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-10000
- checkpoint-12000
- checkpoint-14000
- checkpoint-16000
- checkpoint-18000
- checkpoint-2000
- checkpoint-20000
- checkpoint-22000
- checkpoint-24000
- checkpoint-26000
- checkpoint-28000
- checkpoint-30000
- checkpoint-4000
- checkpoint-6000
- checkpoint-8000
- 1.72 kB
- 1.13 kB
- 1.26 kB
- 1.45 GB xet
- 83 kB
- 1.86 MB xet
- 1.8 MB xet
- 2.2 MB xet
- 2.18 MB xet