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", torch_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:
- fcc305644d0417692451eb3ac28d488d0efa623e0e16a5b116901b4a85db75c8
- Size of remote file:
- 3.5 MB
- SHA256:
- 09e3ca6970234ebe180656c8c4270946de2977cd7e0a86a77184da9d0579981c
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