Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use borisfeldcomet/model_out with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use borisfeldcomet/model_out with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("borisfeldcomet/model_out") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 543b57184139ad66608b32d6495b5abf2a57fcdccd9aa72e54ee914acb433364
- Size of remote file:
- 728 MB
- SHA256:
- 4af4b7ea1a36a73661b24b45338818ffa435047098ca219d3e9654ae0afd0d9b
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