Instructions to use katuni4ka/tiny-random-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use katuni4ka/tiny-random-sd3 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-sd3", 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:
- 3e7c2f592f075b398b331a0541e3f37f9e69373d95f8b71d9b5196365e51f10d
- Size of remote file:
- 181 kB
- SHA256:
- 426ccd3e764e1d051510db1039f4cd497b547cdffa66108d9d3e58efb23d7c21
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