Instructions to use stablediffusionapi/teifyeua37f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/teifyeua37f with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/teifyeua37f", 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:
- 7b7af3fdd9d097f78e61f7978da99d6d60411e603aae33df2598ebcea7730ffb
- Size of remote file:
- 246 MB
- SHA256:
- 135f591f901a1824ae33bd5c7d5bbab1002f22a1293f61dd6e1848b20f94a5d6
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