* 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
* Add H2OGPT
* Add UI tab for h2ogpt
* Add source files from h2ogpt
* Add the rest of the files
* Add h2ogpt support
* Add SHARK Compilation support for langchain model for cli mode
---------
Co-authored-by: George Petterson <gpetters@protonmail.com>
* Generates the seeds for all batch_count batches being run up front
rather than generating the seed for a batch just before it is run.
* Adds a --repeatable_seeds argument defaulting to False
* When repeatable_seeds=True, the first seed for a set of batches will
also be used as the rng seed for the subsequent batch seeds in the run.
The rng seed is then reset.
* When repeatable_seeds=False, batch seeding works as currently.
* Update scripts under apps/scripts that support the batch_count
argument to also support the repeatable_seeds argument.
* UI/Web: Adds a checkbox element on each SD tab after batch count/size
for toggling repeatable seeds, and update _inf functions to take
this into account.
* UI/Web: Moves the Stop buttons out of the Advanced sections and next
to Generate to make things not fit quite so badly with the extra UI
elements.
* UI/Web: Fixes logging to the upscaler output text box not working
correctly when running multiple batches.
