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:
- 9b0ff875630554fd37a4d60745650305cc238fce2395e9c61d588381cf6f8732
- Size of remote file:
- 1.35 MB
- SHA256:
- 2b4c87e435cd6024929fde8ec9690ba94919e81e6866351a1fb4930d2f73b916
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