Spaces:
Running
IndexError: list index out of range
Hello, I've encountered this when trying to convert one of my models. Not sure if this is this a code or a model based issue?
If you are free, please look through the code for such issues.
Used default preset with blessed vae with no LoRAs
Error: Failed to upload to xi0v/test.
Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/gradio/queueing.py", line 536, in process_events
response = await route_utils.call_process_api(
File "/usr/local/lib/python3.10/site-packages/gradio/route_utils.py", line 276, in call_process_api
output = await app.get_blocks().process_api(
File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 1897, in process_api
result = await self.call_function(
File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 1483, in call_function
prediction = await anyio.to_thread.run_sync(
File "/usr/local/lib/python3.10/site-packages/anyio/to_thread.py", line 56, in run_sync
return await get_async_backend().run_sync_in_worker_thread(
File "/usr/local/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 2177, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 859, in run
result = context.run(func, *args)
File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 816, in wrapper
response = f(*args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/gradio/utils.py", line 816, in wrapper
response = f(*args, **kwargs)
File "/home/user/app/convert_url_to_diffusers_sdxl_gr.py", line 333, in convert_url_to_diffusers_repo
md += f"[{str(u).split('/')[-2]}/{str(u).split('/')[-1]}]({str(u)})<br>"
IndexError: list index out of range
Also before the error started appearing, I managed to convert one of my models but it's output was fried and distorted images only.
Definitely a code issue. It's not related to the model content, but to the name-related processing. I'll take a look.
As for noise, it often happens if VAE is not baked in. Also, the scheduler (sampler) and the model have compatibility, so changing that may improve things.
Appreciate it!
I think I may have chose DPM++ 2M Karras instead of the regular 2M, I'll see if It reoccurs, also none of the models I've merged mention a baked vae nor do they recommend a vae, so should I still select a vae when converting?
In WebUI and ComfyUI, VAE is usually provided separately, and no one uses the one that is included...
A lot of people used to have it baked in, but now it's less than 50-50.
On the other hand, with Diffusers, it's assumed that it's included.
That's ridiculous...?🙀
I don't know what's going on here...
I've hardly modified anything (I just put in some debugging code to search for errors, but it shouldn't affect the operation itself), and yet it works.
I'm pretty sure there was an error over here earlier too.
Maybe it was an HF issue.
I'll try to convert another model now.
If you don't mind can you please take down that converted version 😅
But also did you bake a vae while converting it?
And I think hf had an issue since it errored most of my spaces for no apparent reason (other than irrelevant alerts in the logs(
By the way, the recommendation for VAE (I've only been doing this for a few months so I don't know much about it) seems to be the standard VAE or E7 for flat animation painting.
F1 is good but a little too bright.
XL_VAE_C - E7
https://civitai.com/models/152040?modelVersionId=202582
I'll check them out, Thanks for the recommendations !
Oops. Deleted.
I burned the standard VAE and set the scheduler to Euler a. I got the girl correctly.
No worries!
Did you try to inference it?
Serverless is halfway broken right now, so I did an Inference in my space.
https://huggingface.co/spaces/John6666/votepurchase-multiple-model
Yeah serverless hasn't been good recently, I'm doing inference on your space right now, hopefully I don't get these fried images 😅
It works!
I really don't know how to thank you man!
Maybe still no one (us users) knows the cause of the serverless malfunction.
I wouldn't be surprised if it is simply a matter of money or machine power depletion.😅
We're currently doing DIY since there is no explanation for it.
https://discuss.huggingface.co/t/inference-api-turned-off-why/97126/21
Good!
I'll be closing this discussion now. Really, thank you!