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:
- c72390cab470c8eca038dd63d28ee327ef5d411d7fd7920f9ff511b0dbebece4
- Size of remote file:
- 246 MB
- SHA256:
- 151ca686097d372f0d8d87a0c893cea0181962cf3c3244a03811b836038ef0a8
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