Instructions to use stablediffusionapi/laridaev1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/laridaev1 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/laridaev1", 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:
- b0d7cfd28eb7c3c17ff49848c39c7b3e735801dec190245deac66f7f2d64d377
- Size of remote file:
- 167 MB
- SHA256:
- d74ba43f909de4cd421c9140b6979363a882fff22b53b1034912484a68729b04
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