Prevents a large spike in VRAM when preparing to denoise w/ multiple ref
images.
There doesn't appear to be any different in image quality / ref
adherence when concatenating in latent space vs image space, though
images _are_ different.
If the transformer fills up VRAM, then when we VAE encode kontext
latents, we'll need to first offload the transformer (partially, if
partial loading is enabled).
No need to do this - we can encode kontext latents before loading the
transformer to reduce model thrashing.
Tell the model manager that we need some extra working memory for VAE
encoding operations to prevent OOMs.
See previous commit for investigation and determination of the magic
numbers used.
This safety measure is especially relevant now that we have FLUX Kontext
and may be encoding rather large ref images. Without the working memory
estimation we can OOM as we prepare for denoising.
See #8405 for an example of this issue on a very low VRAM system. It's
possible we can have the same issue on any GPU, though - just a matter
of hitting the right combination of models loaded.
This commit includes a task delegated to Claude to investigate our VAE
working memory calculations and investigation results.
See VAE_INVESTIGATION.md for motivation and detail. Everything else is
its output.
Result data includes empirical measurements for all supported model
architectures at a variety of resolutions and fp16/fp32 precision.
Testing conducted on a 4090.
The summarized conclusion is that our working memory estimations for
decoding are spot-on, but decoding also needs some extra working memory.
Empirical measurements suggest ~45% the amount needed for encoding.
A followup commit will implement working memory estimations for VAE
encoding with the goal of preventing unexpected OOMs during encode.
Currently translated at 98.6% (2037 of 2065 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.6% (2037 of 2065 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.5% (2036 of 2065 strings)
translationBot(ui): update translation (Italian)
Currently translated at 98.6% (2014 of 2042 strings)
Co-authored-by: Riccardo Giovanetti <riccardo.giovanetti@gmail.com>
Translate-URL: https://hosted.weblate.org/projects/invokeai/web-ui/it/
Translation: InvokeAI/Web UI
- Do not reset dimensions when resetting generation settings (they are
model-dependent, and we don't change model-dependent settings w/ that
butotn)
- Do not reset bbox when resetting canvas layers
- Show reset canvas layers button only on canvas tab
- Show reset generation settings button only on canvas or generate tab
Disable these items while staging:
- New Canvas From Image context menu
- Edit image hook & launchpad button
- Generate from Text launchpad button (only while on canvas tab)
- Use a Layout Image launchpad button
When unsafe_disable_picklescan is enabled, instead of erroring on
detections or scan failures, a warning is logged.
A warning is also logged on app startup when this setting is enabled.
The setting is disabled by default and there is no change in behaviour
when disabled.
Implements intelligent spatial tiling that arranges multiple reference
images in a virtual canvas, choosing between horizontal and vertical
placement to maintain a square-like aspect ratio
This fixes an issue where gallery's auto-scroll-into-view for selected
images didn't work, and users instead saw a "Unable to find image..."
debug log message in JS console.
