In-context generation and editing
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
No file, test, or entry point is named. First determine whether the current generation path can retain a prior image and accept it for another editing round, then document the implementation scope, limitations, and concrete completion criteria before starting work.
Written by the indexing model from the issue text.
Description
Nice work. I'm wondering if metaquery supports multi-round generation and editing? For example, a user prompts the model with an image to generate a new image, then wants to perform a second round of editing on the previous output. A straightforward approach to implement this would be multiple rounds of input-output iterations. Is this feasible, and what challenges might arise?
Thanks!
- Dominant language
- Python
- Stars
- 328
- Forks
- 14
- PR merge metrics
- No merged PRs in 30d
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from facebookresearch/metaquery
-
Difficulty 4/5 3-5 days Newbie friendliness 35/100
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
facebookresearch/metaquery#1 · 5 comments · 1 reaction ·
All issues in facebookresearch/metaquery
Similar issues
-
Difficulty 1/5 Under an hour Newbie friendliness 72/100
letsencrypt/cp-cps#353 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 84/100
PedestrianDynamics/pyFDS-Evac#394 ·
Maintainers usually reply within 1 day
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
DOI-USGS/pywatershed#421 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
python-pillow/Pillow#10087 · 1 comment ·
Maintainers usually reply within 1 day