Instructions to use vtwoods/mike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vtwoods/mike with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vtwoods/mike", 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:
- dc1e71cdc6abd18fe8ce93481d2853b17587818061177bba49b5cf7981d0053a
- Size of remote file:
- 246 MB
- SHA256:
- 887190dd2443328f4595fab799a11208f322a14e651f71458b087820f878da66
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