Instructions to use AmrutaMuthal/mero_sd2_controlnet_inpaint_masked_loss with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AmrutaMuthal/mero_sd2_controlnet_inpaint_masked_loss with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AmrutaMuthal/mero_sd2_controlnet_inpaint_masked_loss", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K