Instructions to use RED-AIGC/TDD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RED-AIGC/TDD 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/TDD", 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
Have a detailed comparison between TDD and TCD?
#4
by bin27 - opened
What are the advantages of TDD over TCD? For example ControlNet using. Are there any specific details?
Our details will be more natural, tcd has a lot of artifacts. https://github.com/RedAIGC/Target-Driven-Distillation/blob/main/assets/compare.png