huggingface / huggingface/diffusers
Add SUPIR Upscaler
- Lingua principale
- Python
- Stelle
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Descrizione
### 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_
Guida per i contributori
Apri la guida per i contributori
Direzione di ricerca
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.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Valutazione
- Stack tecnologico
- python, pytorch
- Ambito
- machine-learning
- Tipo di issue
- Funzionalità
- Difficoltà
- 5/5
- Tempo stimato
- Più di una settimana
- Stato di attività
- Ferma
- Chiarezza
- Da chiarire
- Idoneità per principianti
- 30/100