Instructions to use iamkaikai/amazing-logos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iamkaikai/amazing-logos with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iamkaikai/amazing-logos", 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:
- d683e1ebc3891a214c9b946239ae3466d600b3e1f4baaa2defe45753a4078beb
- Size of remote file:
- 3.85 GB
- SHA256:
- 2235b9a83bb2ceb6bd65b3c74b2bb4295af63cbb0323fa8a8a0f72c4b9c65501
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