| # Third-Party Notices |
|
|
| This code includes adaptations of the following research implementations. |
| Their licenses and attribution requirements must be reviewed before assigning a |
| license to this repository. |
|
|
| ## DiT |
|
|
| - Project: Scalable Diffusion Models with Transformers |
| - Source: https://github.com/facebookresearch/DiT |
| - Used concepts/code: timestep embedding, adaLN-Zero transformer blocks, |
| initialization, and diffusion-model structure |
| - Copyright: Meta Platforms, Inc. and affiliates |
|
|
| ## OpenAI diffusion implementations |
|
|
| - Projects: improved-diffusion, guided-diffusion, and GLIDE |
| - Sources: |
| - https://github.com/openai/improved-diffusion |
| - https://github.com/openai/guided-diffusion |
| - https://github.com/openai/glide-text2im |
| - Used code: Gaussian diffusion schedules, training losses, timestep respacing, |
| and DDIM sampling |
|
|
| ## timm |
|
|
| - Project: PyTorch Image Models |
| - Source: https://github.com/huggingface/pytorch-image-models |
| - Used components: Transformer attention and MLP modules |
|
|
