Instructions to use byliutao/Longcat-Image-Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use byliutao/Longcat-Image-Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("byliutao/Longcat-Image-Turbo", 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
ComfyUI support?
#2
by kdutt2000 - opened
Do you know if this model has ComfyUI support yet?
Thanks for your attention. This is a ComfyUI version provided by the community: https://huggingface.co/jayn7/LongCat_Image_Turbo_Comfy_repackaged
Will you ever consider doing Continuous-Time Distribution Matching (CDM) on a high quality anime open source model called circlestone-labs/Anima? As it has a turbo Lora but it's makes the quality and details a bit worse.