Instructions to use techmonsterwang/LINA-c2i-d48w1536-marvae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use techmonsterwang/LINA-c2i-d48w1536-marvae with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("techmonsterwang/LINA-c2i-d48w1536-marvae", 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
- Xet hash:
- 9bb19ee9c0ee15785fcf7b7cb3a1ca427582ea418165a7bd10586c8b874c953e
- Size of remote file:
- 1.45 GB
- SHA256:
- 905cf8d98d3e53c6ab002cc7c80db2d472b3b1d03442332e3af2df20957c91e2
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