Instructions to use segmind/tiny-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/tiny-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/tiny-sd", 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:
- 9024a8d87b5aeac4396163489f62c4aae094237026ac85ac2d0b09d61227edb2
- Size of remote file:
- 246 MB
- SHA256:
- f99d8915149c782551f7d14aae5ca0b6e76a6e94d30e5dc86a349b228fbf92ad
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