The two example sections were written from the inside of the graph: node class
names, the `<image1>` / `<image2>` notation, which loader to point where, and an
aside about which of the two 2.1 encoders keeps alpha. None of that helps
someone deciding whether to try the example.
Both sections now say what a user does and what comes back, in two sentences
each, and the news lines and the Updates entry follow. Example 31 also gains the
Workflow JSON link it was missing.
The MarkdownNote embedded in the Example 32 workflow gets the same treatment:
it keeps `<image1>` / `<image2>` (the instruction needs those) and drops the
`Join Image With Alpha` / `Load Image` MASK-output explanation.
The result image is byte-identical to the committed one; only the embedded
workflow metadata changed, which is why nothing was re-run.
The first version swapped a material onto the earcups without changing their
outline, so nothing in the result showed that the alpha channel is being
inpainted too - the silhouette moved by 47 pixels.
The mask now covers both earcups plus a ring of the transparent background
around them (25.1% of the frame, 70.9% of it on the headphones), and the
instruction asks for the earcups to be rebuilt as oversized turbine cups that
flare out past their old outline. The rebuilt region grows 11735 pixels of new
silhouette over what used to be empty background, 100% of it inside the mask,
while the headband, stitching, yokes and hinges stay pixel-identical (0.27/255
mean channel difference outside the mask).
A 25% mask is still clean here; the earlier 16% guidance came from a picture
whose mask had far less context left around it.
Also verified that the alpha is a real channel rather than a trimmed-off fourth
one: re-running with the identical RGB and a fully opaque alpha changes the
masked region by 61.9/255 on average (max 254).
This is the official `Qwen Image 2.1 Image Edit` graph - a `TextEncodeQwenImage21`
fed through its autogrow `images` input, with the prompt naming the references as
`<image1>` / `<image2>` - carrying a LanPaint mask.
Three changes against the stock template: `LanPaint_ImageEncode` takes the mask,
`LanPaint_KSampler` does the sampling, and `LanPaint_ImageDecode` merges the result
back inside the mask and keeps RGBA. No new node inputs or outputs.
The demo re-surfaces a pair of headphones' earcups with the iridescent titanium of a
second reference image. The mask is 14.8% of the frame and 89% of it sits on the
headphones; outside the mask the output is pixel-identical to the source (mean
channel difference 0.098/255), so the headband, the stitching and the hinges are
untouched rather than merely similar. The source and the result are both RGBA.
`Text Encode Qwen Image 2.1` is the right reference encoder for transparent pictures:
it hands the vision tower the alpha composited over white and encodes all four
channels into the reference latent, where the older `Text Encode Qwen Image Edit Plus`
trims to RGB.
Verified by replaying the API prompt embedded in the packaged PNG against the shipped
input files: bit-identical output. The README gets the news block, a TOC entry, the
example section and an Updates line; the previous 2.1 heading now says "with
Transparency" so the two 2.1 examples are distinguishable.
scraed