I'm back after some years, I remember back then I could see what was happening in the background, like when I change a model to another and it takes some time to prepare the data, this new version I don't see anything until the image starts being generated, so I think the interface could show this loading bar in another color other than blue to show that data is being prepared
#Loading progression
28 messages · Page 1 of 1 (latest)
amazing!
still doesn't do it... for example, if I cancel a task while the model loads and start it again, it keeps loading the model, but nothing happens in the front end, only if I see the system resources I can see that the app is still working
I'm not sure if the model loading ever stops until it's completed.
Probably just doesn't report anything until the loading is completed.
that's what I mean, when it starts loading starts an animation, disc spinning or something, and stop only when finished, indenpendent from current task
Yeah, that setting only shows you the progress of denoising steps, not model loading.
It **does **show the model loading info as well, just not exactly how much of the model is loaded.
But not the progress, the percentage done as it does with denoising.
the loading of the model could be observed in the launcher/cli maybe we can expose this to the UI and make it visiable
There currently isn't any progress displayed in the terminal, either. There'd have to be an option to turn on with that module.
the loading shard thing?
There aren't any shards shown. It's just text like this, one per line, waiting as the model loads.
that is a dev install, i dont know if this is a dev install only thing. but the info is there
Not seeing that on mine, which is 6.12 installed from the community installer.
it depends upon the model (and the loading method for such)
for the ones that don't have it, they should load quite quickly anyhow (and did so in the example above), so i'm wondering how useful it'd be there
It didn't, actually. It took over 45 seconds, and that was a smaller one.
I changed model and this is what I had:
[2026-04-15 13:35:30,174]::[InvokeAI]::INFO --> Emitted public queue item event queue_item_status_chang
ed to all subscribers in queue default
Fetching 17 files: 100%|███████████████████████████████████████████| 17/17 [00:00<00:00, 16976.94it/s]
Loading pipeline components...: 100%|███████████████████████████████████| 7/7 [00:24<00:00, 3.48s/it]
[2026-04-15 13:36:10,763]::[ModelManagerService]::INFO --> [MODEL CACHE] Loaded model '7288e5e5-46bb-40
5e-a29d-7f81c239fa71:text_encoder' (CLIPTextModel) onto cuda device in 5.20s. Total model size: 234.72M
B, VRAM: 234.72MB (100.0%)
[2026-04-15 13:36:10,768]::[ModelManagerService]::INFO --> [MODEL CACHE] Loaded model '7288e5e5-46bb-40
5e-a29d-7f81c239fa71:tokenizer' (CLIPTokenizer) onto cuda device in 0.00s. Total model size: 0.00MB, VR
AM: 0.00MB (0.0%)
E:\Ai\invokeai.venv\Lib\site-packages\compel\prompt_parser.py:598: PyparsingDeprecationWarning: 'delim
ited_list' deprecated - use 'DelimitedList'
options = pp.Dict(pp.Optional(pp.delimited_list(option)))
E:\Ai\invokeai.venv\Lib\site-packages\compel\prompt_parser.py:666: PyparsingDeprecationWarning: 'delim
ited_list' deprecated - use 'DelimitedList'
- pp.Group(pp.delimited_list(pp.Group(potential_operator_target | quoted_prompt), min=1)).set_name('b
l-target').set_debug(False)
E:\Ai\invokeai.venv\Lib\site-packages\compel\prompt_parser.py:680: PyparsingDeprecationWarning: 'delim
ited_list' deprecated - use 'DelimitedList' - pp.Group(pp.delimited_list(pp.Group(potential_operator_target | quoted_prompt), min=1)).set_name('c
j-target').set_debug(False)
[2026-04-15 13:35:30,174]::[InvokeAI]::INFO --> Emitted public queue item event queue_item_status_chang
ed to all subscribers in queue default
Fetching 17 files: 100%|███████████████████████████████████████████| 17/17 [00:00<00:00, 16976.94it/s]
Loading pipeline components...: 100%|███████████████████████████████████| 7/7 [00:24<00:00, 3.48s/it]
[2026-04-15 13:36:10,763]::[ModelManagerService]::INFO --> [MODEL CACHE] Loaded model '7288e5e5-46bb-40
5e-a29d-7f81c239fa71:text_encoder' (CLIPTextModel) onto cuda device in 5.20s. Total model size: 234.72M
B, VRAM: 234.72MB (100.0%)
[2026-04-15 13:36:10,768]::[ModelManagerService]::INFO --> [MODEL CACHE] Loaded model '7288e5e5-46bb-40
5e-a29d-7f81c239fa71:tokenizer' (CLIPTokenizer) onto cuda device in 0.00s. Total model size: 0.00MB, VR
AM: 0.00MB (0.0%)
E:\Ai\invokeai.venv\Lib\site-packages\compel\prompt_parser.py:598: PyparsingDeprecationWarning: 'delim
ited_list' deprecated - use 'DelimitedList'
options = pp.Dict(pp.Optional(pp.delimited_list(option)))
E:\Ai\invokeai.venv\Lib\site-packages\compel\prompt_parser.py:666: PyparsingDeprecationWarning: 'delim
ited_list' deprecated - use 'DelimitedList'
- pp.Group(pp.delimited_list(pp.Group(potential_operator_target | quoted_prompt), min=1)).set_name('b
l-target').set_debug(False)
E:\Ai\invokeai.venv\Lib\site-packages\compel\prompt_parser.py:680: PyparsingDeprecationWarning: 'delim
ited_list' deprecated - use 'DelimitedList' - pp.Group(pp.delimited_list(pp.Group(potential_operator_target | quoted_prompt), min=1)).set_name('c
j-target').set_debug(False)
Token indices sequence length is longer than the specified maximum sequence length for this model (83 >
77). Running this sequence through the model will result in indexing errors
[2026-04-15 13:36:31,972]::[ModelManagerService]::INFO --> [MODEL CACHE] Loaded mo
then after it was loaded it showed
the loading bar was the same as the blue solid bar on the UI