ausboss
ac0bb08949
32 of the ? help pages checked against the code and corrected. Wrong claims fixed: Stitch Inpaint's empty-area check (20/255), what a new video keeps on both Video Crop + Rotate + Pad pages, Load Video's frame picker and player height, where Run Timer lists earlier runs, inpainting on the Krea 2 Outpaint Model Patch page, Workflow Note's banner layout and pack detection, Image Resize's pad bars and mask, Save Image's path preview and tags, Free Memory's steps, and Latent Size's sockets. Image Crop + Rotate + Pad now follows the node from top to bottom; the saved values no row shows moved under Technical details. Controls are named the way the node shows them, with the input name beside. Pages that opened with jargon now open with what the node does and when to use it. LoRA Loader gained the Civitai lookup, suggested strength and the gear options it did not name.
5.5 KiB
Krea 2 Outpaint Model Patch
Tells Krea 2 where a reference image sits on the canvas. Use it when you extend a picture with Krea 2 (outpainting), so the model carries your picture on instead of painting something that only looks similar.
Place it after any LoRA loader and before the sampler.
How it works: a reference normally reaches the model with no position, so the model treats it as a loose style hint. It borrows the look and reinvents the content. This patch pins the reference to the rectangle the stitcher reports.
Controls
The node's card shows Reference (source rect / whole canvas) and
KV cache (every step / once per run). Both accept links and retain
their saved values when the workflow is reloaded.
- model: A Krea 2 model. Patch last, so a LoRA loaded afterwards does not replace the patched forward pass.
- stitcher: From Load Image + Pad 🆎 or a Crop + Rotate + Pad 🆎 node.
It tells the patch where your picture sits on the canvas. With
a stitcher from Crop For Inpaint 🆎, set Reference to
whole canvas: onsource rectthe reference is pinned to where the crop sat in the full picture, not spread over the crop. - KV cache (
kv_cache,once per runby default): Compute the reference's keys and values once per run instead of once per step. The reference does not change while sampling, so this is free speed. Set it toevery steponly to rule the cache out when debugging. - Reference (
placement): Where the reference tokens go.source rect(source rectangle, the default) pins them to the rectangle the stitcher reports.whole canvasspreads them over the full frame. Which one is right depends on the LoRA — see below.
Output
- model: The model with reference tokens registered into the canvas grid.
Two LoRAs, two placements
The base Krea 2 weights were never trained on registered references; what makes this patch work is a LoRA trained for it, and the two that exist want different placements.
Every side at once — whole canvas + AnyPaint. yijunwang2's
Krea 2 AnyPaint
(krea2_anypaint_rank32.safetensors) was trained with the padded canvas
itself as the reference, spread over the whole frame, and the known pixels
held in place by the sampler. In its training the new area of that reference
was always a flat patch of the picture's own median colour. Wire it like the
Krea 2 Outpaint example:
- A pad node with any padding you like: Image Crop + Rotate + Pad 🆎, as in the example, or Load Image + Pad 🆎. Left, right, top and bottom together are fine. Flat colour fill.
- Krea 2 Encode 🆎 with the pad node's image output (the padded canvas,
not Load Image + Pad's unpadded reference output) as the reference,
vlm_referenceon, and the pad node's mask wired into itsmaskinput. The mask makes the encode refill the new area with the picture's median colour, as in training. Without it a dark or very colourful picture can come back with the gray padding painted in as a gray frame. - This patch on
whole canvas. - VAE Encode the padded canvas, Set Latent Noise Mask with the pad mask, and sample from that latent at full denoise. The mask is what keeps the source pixels; the reference is what tells the model what they are.
To repaint part of a picture instead of extending it, use the Krea 2
Inpaint Masked example: Crop For Inpaint 🆎 cuts out the area you painted,
and this patch runs on whole canvas with the same LoRA. Load Image + Pad 🆎
itself does not take a painted mask.
One axis per pass — source rectangle + Registered Outpaint. The same
author's Registered Outpaint
(krea2_outpaint_rank32.safetensors) is the LoRA this placement was built
for: the unpadded source goes in as the reference (Load Image + Pad 🆎's
reference output, VLM reference off) and is pinned to its rectangle. It
was trained on a source spanning one whole canvas axis — pad left/right and
the source must span the full height, pad top/bottom and it must span the
full width. Padding both axes in one pass is outside its training and the
new region can break up; the node says so in the console when it sees it,
and the cure is two passes: pad one axis, run, load the result, pad the
other. A thin strip counts. On the Crop + Rotate + Pad nodes,
Divisible by adds a few pixels of fill on the right and bottom; more
than 8 px on the side you did not pad means the source no longer spans it.
Load Image + Pad's Multiple never adds a strip there. The warning
reports the spare pixels on each axis.
Without either LoRA the patch still places the reference, but the bare Turbo model treats it loosely and results are hit and miss.
Notes and limitations
- Nothing happens without reference latents. If the conditioning carries none, the patched forward pass calls straight through to the original. Wire Krea 2 Encode 🆎 with a VAE and a reference image.
- It patches comfy internals. The placement reaches into the flux attention layers, so a ComfyUI release that moves them can break this node specifically. It imports those internals when you run it rather than at startup, so a break surfaces as an error on this node instead of the node disappearing from the menu.
- Reference tokens cost attention. The reference is shrunk so its longest side is 384 px before encoding for that reason — see Krea 2 Encode 🆎.