* WIP: MSVC ROCM support for SHARK Studio
* Make get_iree_rocm_args platform-agnostic.
* Update stable_args.py
* Update rocm arg handling in SD utils
* Guard quantization imports.
Co-authored-by: jam https://github.com/jammm
* improper test hiresfix
* add sliders & use `clear_cache`
* add resample choices & fix step adjustment
* add step adjustment to img2img
* add resample options to img2img
* simplify hiresfix
- import `img2img_inf` from `img2img_ui.py` instead of just copying it into `txt2img_ui.py`
* set `hri` to None after using
* add more resample types, and don't show output until hiresfix is done
* cleaner implementation
* ran black
* ran black again with jupyter dependencies
* Revert ui tab order
* Reverts the tab order, so that SD, LLM, and Experimental are grouped
together again as far as is possible.
* Labelled "Generate Sharding Config" as experimental as pressing the
'Get Model Config' errors for me.
* Fix formatting in index.py
* [MiniGPT4] Add MiniGPT4 to SHARK
-- This is the first installment of MiniGPT4 in SHARK.
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
* Add int8 support for MiniGPT4
-- This commit adds int8 support for MiniGPT4.
Signed-off-by: Abhishek Varma <abhishek@nod-lab.com>
* Update .spec for MiniGPT4's config files
* black format MiniGPT4
---------
Signed-off-by: Abhishek Varma <abhishek@nod-labs.com>
Signed-off-by: Abhishek Varma <abhishek@nod-lab.com>
* SD Scripts and UI tabs that support batch_count can now take a
string containing a JSON array, or a list of integers, as their seed
input.
* Each batch in a run will now take the seed specified at the
corresponding array index if one exists. If there is no seed at
that index, the seed value will be treated as -1 and a random
seed will be assigned at that position. If an integer rather than
a list or json array has been, everything works as before.
* UI seed input controls are now Textboxes with info lines about
the seed formats allowed.
* UI error handling updated to be more helpful if the seed input is
invalid.
This commit fixes the following issue for the Langchain:
1.) Web UI not able to fetch results.
2.) For each query model getting reloaded.
3.) SHARK module not using user provided device and precision.
4.) Create a class for main Langchain code.
5.) Misc issues
* Fix nod-ai logo having a white border
* Fix control labels having a black background
* Remove extra lower border below Save Prompt checkboxes in Txt2Img UI
