huggingface / huggingface/diffusers
Add SUPIR Upscaler
- 主要言語
- Python
- スター
- 34.5k
- フォーク
- 7.3k
- 平均マージ
- 3日 3時間
- マージ済み PR(30日)
- 91
説明
### Model/Pipeline/Scheduler description
[SUPIR](https://supir.xpixel.group/) is a super-resolution model that looks like it produces excellent results
Github Repo: https://github.com/Fanghua-Yu/SUPIR
The model is quite memory intensive, so the optimisation features available in diffusers might be quite helpful in making this accessible to lower resource GPUs.
### Open source status
- [X] The model implementation is available.
- [X] The model weights are available (Only relevant if addition is not a scheduler).
### Provide useful links for the implementation
_No response_
コントリビューションガイド
調査の方向性
Start by reading the SUPIR project and implementation repository linked in the issue, then review how diffusers exposes model and pipeline integrations. Clarify the integration scope, including how the available optimization features should address SUPIR's memory requirements; done means the model is supported in diffusers with appropriate validation.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- python, pytorch
- 領域
- machine-learning
- issue の種類
- 機能追加
- 難易度
- 5/5
- 見積もり時間
- 1週間以上
- 活発さ
- 停滞
- 明瞭さ
- 説明が足りない
- 初心者へのやさしさ
- 30/100