Instructions to use stablediffusionapi/maky-base-model-005 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/maky-base-model-005 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/maky-base-model-005", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b1fd85fbed98ca4f5a913e2c518d22bc5e9c15d9d3adf9f734483578271a3e92
- Size of remote file:
- 1.72 GB
- SHA256:
- 14fa349dd503c3b95fbf611621fbe44a00ee2d9f5be0266c1cb5ae1125616363
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.