Instructions to use stablediffusionapi/lwarchitecutralmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/lwarchitecutralmix 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/lwarchitecutralmix", 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:
- 5134a75ce5b30a07b81d0422bd42b0d2b0badb81b230187169aba2b44dfe71e9
- Size of remote file:
- 246 MB
- SHA256:
- 37c593a8cb5d21da337d76715f47c7cd253d98ad4befdc63854c71b1856b6a76
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