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
- Draw Things
- DiffusionBee
gradio demo
#2
by akhaliq - opened
would be great to add a gradio demo to github and huggingface spaces, see: https://github.com/KwaiVGI/LivePortrait?tab=readme-ov-file#4-gradio-interface- and https://huggingface.co/docs/hub/spaces-sdks-gradio for spaces
This comment has been hidden
Thanks for your attention, we don't have time to do it at this moment, maybe in next month.