Saurabh Saxena

How to reduce the size of trained model ?

2

Any ideas on how to reduce the size of the trained model from 12gb to 4gb(same as original stable diffusion checkpoint) ?

FiberHandler hangs if route handler throws Exception

1

Example code: https://github.com/sausax/vertx-sync-fiberhandler-error FIberHandler hangs if it encounters a RuntimeException in the route handler block. RouteHandler without FiberHandler end the request and gives Internal Server Error.

Offline example

3

Can somebody provide and example of how to run this with model file locally present ? I am planning to run it on machine that does not have internet access.

Getting keyerror "dataset" when running the gradio ui

6

`Traceback (most recent call last): File "/mnt/1c418dd9-a3c3-4278-870a-fe3a7069416b/github/Rerender_A_Video/.venv/lib/python3.10/site-packages/uvicorn/protocols/http/h11_impl.py", line 408, in run_asgi result = await app( # type: ignore[func-returns-value] File "/mnt/1c418dd9-a3c3-4278-870a-fe3a7069416b/github/Rerender_A_Video/.venv/lib/python3.10/site-packages/uvicorn/middleware/proxy_headers.py", line 84, in __call__ return await self.app(scope, receive, send) File...