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:
- c565eebc7c0fdd43ccace26ca71fde31b9a6fd72d5753272c00d89e3bf149dcd
- Size of remote file:
- 1.8 MB
- SHA256:
- 21e7cefcd67e74e4a7a67ab24f24651a11b8a86ab257a0ede4da38b0ea981c1b
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