Instructions to use zecloud/mechas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zecloud/mechas with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zecloud/mechas", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 951c2e29c05575eb6f3ce789186717f212e7393f496e531bd53a01e21731ae15
- Size of remote file:
- 492 MB
- SHA256:
- 0d744933ea2a8465d60f8d7c13f56995a8e94acff42c80c69dc95ffda1ada7a4
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