Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use AmritaBha/sd15_mscoco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AmritaBha/sd15_mscoco with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("AmritaBha/sd15_mscoco") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ce5033168463a73b7a70b99dc9a29e09958ab2f99a29692ed11677d7d1f08e36
- Size of remote file:
- 1.45 GB
- SHA256:
- f9b48e0064c7bbfdbbd32a00ed7824de1866bd3048ff07459ec527f153ab0643
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