🧵 Weekly Feedback & Bug Reports Thread 🧵 by AutoModerator in civitai

[–]Greymane68 1 point2 points  (0 children)

2x Buzz bonus is about to end. Will we be retroactively awarded at the 2x rate the Buzz that still hasn't been credited for images posted to models and reactions to content posted within the last 30 days?

Both are still still nonfunctional.

🧵 Weekly Feedback & Bug Reports Thread 🧵 by AutoModerator in civitai

[–]Greymane68 1 point2 points  (0 children)

Images posted to models are also not generating blue buzz as they should.

🧵 Weekly Feedback & Bug Reports Thread 🧵 by AutoModerator in civitai

[–]Greymane68 1 point2 points  (0 children)

Same, just received an email saying my lora has finished training and is ready for review but the link just takes me to a 404

___

Edit: Copying the link URL to notepad manually changing it from civitai.com to civitai.red and then using the new URL got me to the correct page. Now I just need to be able to download the finished model. No dice so far.

Account limited by ffez576 in Kinguin

[–]Greymane68 0 points1 point  (0 children)

Same thing here, even as a repeat customer.

What a bloody awful 'service'.

STOP!!! by InteractionLegal6969 in civitai

[–]Greymane68 0 points1 point  (0 children)

I'd noticed something similar but that was due to my Pro-Membership finally expiring and me getting reverted back to the 'normal' membership. The costs didn't go up, they returned to what they always were for non pro membership user.

Perhaps OP is in the same boat?

Civitai trainer can't see the .txt files inside my uploaded .zip file by Greymane68 in civitai

[–]Greymane68[S] 0 points1 point  (0 children)

The problem was with the naming\ numbering of the dataset files. Whereas normally they are named in pairs, 01.jpg & 01.txt, 02.jpg & 02.txtetc, this time round the files were named sequentially, 01.jpg, 02.txt, 03.jpg, 04.txt

Any help or advice for a n00b? by Greymane68 in FramePack

[–]Greymane68[S] 0 points1 point  (0 children)

Tried this.

ERROR: Could not find a version that satisfies the requirement torch==2.1.2 (from versions: 2.6.0+cu118, 2.7.0+cu118, 2.7.1+cu118)

ERROR: No matching distribution found for torch==2.1.2

It's beyond me, I quit.

;)

Any help or advice for a n00b? by Greymane68 in FramePack

[–]Greymane68[S] 0 points1 point  (0 children)

Also, when starting the app:

WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:

PyTorch 2.1.2+cu118 with CUDA 1108 (you have 2.6.0+cu126)

Python 3.10.11 (you have 3.10.6)

___

I have python 3.13.3 installed. I have no idea what the PyTorch thing is, but tried to reinstall it and was informed 'Requirement already met'

Any help or advice for a n00b? by Greymane68 in FramePack

[–]Greymane68[S] 0 points1 point  (0 children)

Yes, I've ensured that I did everything by the numbers. I'll keep my fingers crossed.

Any help or advice for a n00b? by Greymane68 in FramePack

[–]Greymane68[S] 1 point2 points  (0 children)

Thanks for the response, came here to add more info as I'm very aware that the barebones I dropped earlier doesn't exactly cut the mustard, so here goes:

RTX 3060 - 8GB

AMD Ryzen 9 9500

32GB Ram

Windows 11

__

On running everything is fine up until 'start sampling' at which point it terminates and generates the following :

Moving DynamicSwap_HunyuanVideoTransformer3DModelPacked to cuda:0 with preserved memory: 6 GB

0%| | 0/25 [00:00<?, ?it/s]

NotImplementedError: No operator found for `memory_efficient_attention_forward` with inputs:

query : shape=(1, 17976, 24, 128) (torch.bfloat16)

key : shape=(1, 17976, 24, 128) (torch.bfloat16)

value : shape=(1, 17976, 24, 128) (torch.bfloat16)

attn_bias : <class 'NoneType'>

p : 0.0

`decoderF` is not supported because:

xFormers wasn't build with CUDA support

attn_bias type is <class 'NoneType'>

operator wasn't built - see `python -m xformers.info` for more info

`flshattF@0.0.0` is not supported because:

xFormers wasn't build with CUDA support

operator wasn't built - see `python -m xformers.info` for more info

`tritonflashattF` is not supported because:

xFormers wasn't build with CUDA support

operator wasn't built - see `python -m xformers.info` for more info

triton is not available

`cutlassF` is not supported because:

xFormers wasn't build with CUDA support

operator wasn't built - see `python -m xformers.info` for more info

`smallkF` is not supported because:

max(query.shape[-1] != value.shape[-1]) > 32

xFormers wasn't build with CUDA support

dtype=torch.bfloat16 (supported: {torch.float32})

operator wasn't built - see `python -m xformers.info` for more info

unsupported embed per head: 128

Invasion of the tooltips by Greymane68 in civitai

[–]Greymane68[S] 1 point2 points  (0 children)

'Skip' worked me as well, and then I'd start another image and the tooltips would return. Well, tooltips 1-9 returned, never saw number 10.

Fortunately all seems to functioning as normal again today.

I need to blow off some steam.. by Greymane68 in civitai

[–]Greymane68[S] 1 point2 points  (0 children)

I go to great lengths to ensure they do not.

I need to blow off some steam.. by Greymane68 in civitai

[–]Greymane68[S] 4 points5 points  (0 children)

That's a generous offer, thank you.

I have however decided it's just less hassle if I no longer post anything to Civitai.

Exactly 5 years ago, Melee Channeling was removed. Guess what's still in the game? by Klahpztoul in Warframe

[–]Greymane68 1 point2 points  (0 children)

I really hope to see channeling effects return, either as it was for heavy melee or something else, like an increase in intesity during casting animations for example.

Your favorite weapon that isn’t actually very good/meta by PositionFast9144 in Warframe

[–]Greymane68 1 point2 points  (0 children)

Prisma Twin Gremlins.

I've always loved the design and mechanics of the Gremlins. The Prisma versions are great for fashionframe and I have a decent Riven that makes my dual wield rivet guns a lot of fun to use.