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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5435df6a37b4146661620bc731be4fc394391a13b06a8f1959c2293600c393b6
- Size of remote file:
- 1.72 GB
- SHA256:
- 64b01c3b54ab58b10248fdb7f51f92a659eb0cd3c052ed9f2193d390a84df782
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