Empty Latent Image-Node in ComfyUI

Q: Error: height and width must be divisible by 8

A size like 1000x700 was entered. Use multiples of 8, ideally 64 (1024, 960, 896, 832, 768).

Q: Out of memory with a batch

batch_size multiplies the memory the sampler needs. Lower batch_size and queue several runs instead.

Empty Latent Image creates the blank latent canvas (width, height, batch_size) that text-to-image sampling starts from; dimensions must be multiples of 8 and match the model family.

Node-Paket: ComfyUI core

Kategorie: Latent

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Was Empty Latent Image macht

Text-to-image needs a starting point. Empty Latent Image produces a latent tensor filled with zeros at the requested size, and KSampler adds the noise. Latent space is 8 times smaller than pixels for SD models, so a 1024x1024 image is a 128x128 latent; the node takes pixel sizes and divides for you.

Pick sizes the model was trained on: 512x512 or 512x768 for SD 1.5, 1024x1024 / 832x1216 / 1216x832 for SDXL, Pony and Illustrious. Larger first-pass sizes cause duplicated subjects; use a hires pass for more pixels. For Flux, SD3 and video models use EmptySD3LatentImage or the family-specific latent node, which has a different channel count.

Eingänge

Name	Typ	Bedeutung
width	INT	Image width in pixels, multiple of 8 (64 recommended).
height	INT	Image height in pixels, multiple of 8.
batch_size	INT	How many images to make in one run with consecutive seeds.

Ausgänge

Name	Typ	Bedeutung
LATENT	LATENT	The empty latent for KSampler latent_image.

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So verwendest du Empty Latent Image

Add Empty Latent Image.
Set width and height for the model family (1024x1024 for SDXL).
Set batch_size 1 while testing, higher once the prompt works.
Connect LATENT to KSampler latent_image and keep denoise at 1.0.

Einstellungen und Tipps

SDXL sweet spots: 1024x1024, 896x1152, 832x1216, 1152x896, 1216x832, 1344x768.
SD 1.5 above 768 on the long side tends to double heads and bodies; upscale afterwards instead.
batch_size 4 is a cheap way to explore seeds; VRAM scales with it.
Width and height that are not multiples of 8 are rounded down.

Fehlerbehebung bei Empty Latent Image

Flux / SD3 / Wan produce garbage with this node

Warum es passiert

Those models use 16-channel latents; Empty Latent Image makes the 4-channel SD latent.

So behebst du es

Replace it with EmptySD3LatentImage (Flux, SD3, Qwen) or the Wan / Hunyuan empty video latent nodes.

Two heads, duplicated people or tiling patterns

Warum es passiert

The canvas is much larger than the training resolution, so the model composes several images in one.

So behebst du es

Generate at the native size and upscale with a latent or pixel hires pass.

Error: height and width must be divisible by 8

Warum es passiert

A size like 1000x700 was entered.

So behebst du es

Use multiples of 8, ideally 64 (1024, 960, 896, 832, 768).

Out of memory with a batch

Warum es passiert

batch_size multiplies the memory the sampler needs.

So behebst du es

Lower batch_size and queue several runs instead.

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