Instructions to use katuni4ka/tiny-random-stable-diffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katuni4ka/tiny-random-stable-diffusion-3 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-stable-diffusion-3", 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:
- 36549233017b4eaf564af8a1893a502fa77f4ab632cd10433fe1fddcd856057d
- Size of remote file:
- 4.88 MB
- SHA256:
- 90f4abb1e58fbc0fed02be9b22f69524f8c2c9be07c68d27ab879d762123e434
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