#Loading progression

28 messages · Page 1 of 1 (latest)

hushed salmon
#

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

cinder mural
#

If you turn that on in the Settings modal under User Interface, you get this:

hushed salmon
#

amazing!

hushed salmon
cinder mural
#

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.

hushed salmon
#

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

drifting bough
#

Yeah, that setting only shows you the progress of denoising steps, not model loading.

cinder mural
cinder mural
#

Although under a "Generating" label.

drifting bough
#

But not the progress, the percentage done as it does with denoising.

quasi hinge
#

the loading of the model could be observed in the launcher/cli maybe we can expose this to the UI and make it visiable

drifting bough
#

There currently isn't any progress displayed in the terminal, either. There'd have to be an option to turn on with that module.

quasi hinge
#

the loading shard thing?

drifting bough
#

There aren't any shards shown. It's just text like this, one per line, waiting as the model loads.

quasi hinge
#

that is a dev install, i dont know if this is a dev install only thing. but the info is there

drifting bough
azure widget
#

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

drifting bough
#

It didn't, actually. It took over 45 seconds, and that was a smaller one.

hushed salmon
#

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