Comments (3)
We need a way for users to test out hparams. One option is to allow for the "injection" of hparams. We could have a json object of hparams, which is added to a test connection. So let's say we want to test different strengths for the stable diffusion model. We would create the strength as as a hparam, and call it via self.hparams["strength"]
.
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73a272a: we have a params
object in the trigger.
but we probably want to (1) integrate it with wandb, (2) figure out how to not persist results to the DB, (3) auto-version all results (maybe wandb handles this), and (4) parallelize.
ideally we also log these runs as experimental/test in the motion logs. and we don't checkpoint the DB when we're running an experiment.
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Try using maskformer: https://huggingface.co/facebook/maskformer-swin-large-ade to do image segmentation. Test workflow with wandb.
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Related Issues (20)
- Implement Optimistic Concurrency Control for Update Ops
- Use JWT for application auth HOT 1
- If serve ops return an error, do not cache the error HOT 1
- Migrate to Subinterpreters?
- Redesign motion application layout
- Dev Sandbox HOT 1
- Support generators in serve ops HOT 2
- Separate optional dependencies
- Implement Dynamic Prompt Resizing for LLM Calls HOT 1
- Dashboard to view any component state and be able to directly edit state
- `Prompt` as an alias for `Component`
- s/`datafow`/`flow`
- Should update ops be processed in LIFO order? HOT 3
- Ideas for LLM-specific components
- `force_refresh` in component run method is not obvious HOT 1
- Multiprocessing memory leak
- Expose `flush_updates_on_exit` for instance contextmanager
- Real-time Dashboard
- Move pandas out of init.py
- Add `close` as an alias for `shutdown`
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