"Uncrop" the original denoised image for the composite step, fixing a "ValueError: Images do not match" *shudder*

# Conflicts:
#	modules/processing.py

Rewrote latent_blend() to use in-place operations and to aggressively "del" references with the intention of minimizing allocations and easing garbage collection.

Blend masks are now produced afterward, based on an estimate of the visual difference between the original and modified latent images. This should remove ghosting and clipping artifacts from masks, while preserving the details of largely unchanged content.

Added slider for detail preservation strength, removed largely needless offset parameter, changed labels in UI and for saving to/pasting data from PNG files.

Implements "scheduling" for blending of the original latents and a latent blending formula that preserves details in blend transition areas.

Removed conflicting step that replaces the softly inpainted latents with a naive blend with the original latents.

Removed code which forces the inpainting mask to be 0 or 1. Now fractional values (e.g. 0.5) are accepted.

json.dump(ensure_ascii=False)

improve json readability

Compatibility

Update Ruff to 0.1.6

Move exception_records related methods to errors.py

support HyperTile optimization

Option to show batch img2img results in UI

implementing script metadata and DAG sorting mechanism

rework extensions metadata: use custom sorter that doesn't mess the order as much and ignores cyclic errors, use classes with named fields instead of dictionaries, eliminate some duplicated code

save sysinfo as .json

GitHub now allows uploading of .json files in issues

shared.opts.img2img_batch_show_results_limit
limit the number of images return to the UI for batch img2img
default limit 32
0 no images are shown
-1 unlimited, all images are shown