- Add a note at the of the top of the README to use SHARK-1.0 whilst
rewrite with Turbine is ongoing.
- Update installation section to point at SHARK-1.0 branch.
- Suggest the latest SHARK-1.0 pre-release as well as stable.
- Recommend running the .exe from the command line.
* SD/API: Add missing a1111 API features for Koboldcpp
* Refactors SD api functions into their own file
* Adds the following apis implemented by a1111 as needed by koboldcpp:
- adds /sdapi/v1/sd-models (lists available models)
- adds /sdapi/v1/options (only the bare minimum needed)
* Adds optional CORS support, use the '--api_accept_origin' command line
argument to activate and configure.
* Extends existing APIs to include optional sampler/scheduler selection
* Extends /sdapi/v1/textimg to recognise the method used by koboldcpp
to select the model.
* Where possible take values not provided to the API in the request from
the existing relevant command line parameters rather than hardcoding
them.
* return a 400 response when a request doesn't have required properties.
* changed default schedulers and models for some apis to ones that
actually seem to work.
* Update api_test.py to include the new APIs.
* Update api_test.py to include a '--verbose' command line option.
* SD/API: Take more API values from args
* Take LoRA from '--use_lora' command line arg if specified
* Take device from '--device' command line arg if specified (substring
match, so a short name such as 'vulkan://0' should work)
* SD/API: add more endpoints and pydantic typing
* Mount the whole of /sdapi from index.py as a FastAPI application,
rather than each endpoint individually
* Add the following additional API endpoints:
* /sdapi/v1/samplers
* /sdapi/v1/cmd-flags
* Make scheduler/sampler selection checking and fallback much more
robust.
* Support aliasing some A1111 scheduler/sampler names to the diffusers
ones we are using.
* Expand response /sdapi/v1/options to add a few more things.
* Split non-api functions and variables into their own utils.py file.
* Support 'n_iter' request property and the return of multiple images
from generation endpoints. Equivalent of '--batch_count', batch_size
is stil hardcoded at 1
* Include (some) hires_fix request properties in txt2img endpoint
* Rework endpoints using pydantic model classes for better request
validation and so we get much improved swagger api docs at
/sdapi/docs and redoc at /sdapi/redoc
* SD/API Delete commented out code from index.py
* Delete some code that is no longer needed by the SD API in index.py
(and one line sdapi_v1.py) that I'd previously only commented out.
* SD/UI: Add shark_sd_koboldcpp.md document
* Add documentation on how to set up Koboldcpp with SHARK
* Link this and the existing blender set up document from the main
README.md
* SD/API Improve stencil options in img2img endpoint
In /sdapi/v1/img2img:
* Add zoedepth to the controlnet use_stencil options
* Require and use second image as stencil mask for controlnet scribble
To produce benchmarks of individual dispatches, you can add --dispatch_benchmarks=All --dispatch_benchmarks_dir=<output_dir> to your command line argument.
Co-authored-by: Elias Joseph <elias@nod-labs.com>
