Instructions to use katuni4ka/tiny-random-flex.2-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katuni4ka/tiny-random-flex.2-preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("katuni4ka/tiny-random-flex.2-preview", 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:
- ca5a26e4cfdd3e42cc5347c901c97df3fb6e7fc10f7aed82576e6e14b42d618d
- Size of remote file:
- 26.2 kB
- SHA256:
- e1b6d023a51f32d4a31a3743774be5aec456a5c4631106f3db822ef8348fc52c
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