Instructions to use RED-AIGC/StoryMaker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RED-AIGC/StoryMaker with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RED-AIGC/StoryMaker", 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:
- 52b08ca8335604dcd74475d54d3461462f4dd59cb87995d56ccc655adced3261
- Size of remote file:
- 3.32 GB
- SHA256:
- ba656c03cd0d2650a7e0d421392cfe5be638fd5da3c6b19465b7ce9840a0dd4c
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