Instructions to use stablediffusionapi/maky-model-00007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/maky-model-00007 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-model-00007", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 485bad6f53d9255151a3c560aacd106aca782f1ac00c7797a03178c0b116e153
- Size of remote file:
- 1.72 GB
- SHA256:
- ef2bdb5c5f30d3eb1bcf94e76f938c31d434e0b25c863140a8ebb13619bfbb55
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.