huggingface / huggingface/diffusers
Dynamic thresholding (full)
- Dominant language
- Python
- Stars
- 34.5k
- Forks
- 7.3k
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 91
Description
**Is your feature request related to a problem? Please describe.**
I am trying to increase the variety and quality of my results
**Describe the solution you'd like**
I would like dynamic thresholding implemented
**Describe alternatives you've considered**
Doing it myself, paying someone better than to do it or giving up
**Additional context**
here's the repo: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding/tree/master
here's the relevant code: https://github.com/mcmonkeyprojects/sd-dynamic-thresholding/blob/master/dynthres_core.py
code is short too. less than 200 lines.
Contributor guide
Research direction
Start with the linked dynthres_core.py and compare its behavior with the Diffusers implementation to identify the relevant pipeline entry point. Done means full dynamic thresholding is integrated into Diffusers and its image-generation behavior is validated.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100