huggingface / huggingface/diffusers
Analysis of Classifier-Free Guidance Weight Schedulers
- Vorherrschende Sprache
- Python
- Sterne
- 34.5k
- Forks
- 7.3k
- Ø Merge
- 3 T. 3 Std.
- Gemergte PRs (30 T.)
- 91
Beschreibung
### Model/Pipeline/Scheduler description
The paper's authors performs an analysis and proposes 1 line change in order to make Classifier-Free Guidance looks better

I personally run some test to confirm
**SD1.5 DDIM scheduler, 50 steps, "a photograph of an astronaut riding a horse", seed: 1024**
guidance scale: 7.5
static

linear (proposed)

guidance scale: 14.0
static

linear (proposed)

### Open source status
- [ ] The model implementation is available.
- [ ] The model weights are available (Only relevant if addition is not a scheduler).
### Provide useful links for the implementation
Paper: https://arxiv.org/abs/2404.13040
Beitragsleitfaden
Rechercherichtung
Start with the linked paper and inspect the DDIM scheduler entry point; the issue names no file or test. Reproduce the stated SD1.5 experiments, then establish the exact scheduler change and validation needed for the proposed guidance-weight behavior.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- python, pytorch
- Bereich
- machine-learning
- Issue-Typ
- Feature
- Schwierigkeit
- 5/5
- Geschätzter Aufwand
- Über eine Woche
- Aktivitätsstatus
- Veraltet
- Klarheit
- Muss geklärt werden
- Anfängerfreundlichkeit
- 25/100