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EmptySD3LatentImage-node in ComfyUI

EmptySD3LatentImage creates the 16-channel empty latent that Flux, SD3 and SD3.5 need; it replaces Empty Latent Image in those workflows.
Nodepakket: ComfyUI core
Categorie: Latent
Deze pagina is nog niet vertaald en wordt daarom in het Engels getoond.

Wat EmptySD3LatentImage doet

SD3 and Flux use a VAE with 16 latent channels instead of the 4 channels of SD 1.5 and SDXL. A standard Empty Latent Image hands the sampler the wrong shape, which ends in noise or a size error. EmptySD3LatentImage produces the right tensor and otherwise behaves the same: width, height and batch_size in pixels.
Flux handles a wide range of sizes well, from 512 up to about 2 megapixels in one pass (1024x1024, 1152x896, 1344x768, 1536x1024). SD3.5 prefers 1024-class sizes.

Invoer

Naam
Type
Wat het is
width
INT
Image width in pixels, multiple of 16 recommended.
height
INT
Image height in pixels.
batch_size
INT
Images per run.

Uitvoer

Naam
Type
Wat het is
LATENT
LATENT
The empty 16-channel latent for KSampler.
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Sla de installatie over: ComfyUI-workflows voorgeïnstalleerd in de cloud
BitVector draait kant-en-klare ComfyUI-workflows op eigen GPU's. Geen installatie, geen ontbrekende nodes, geen rode vakken. Open het op je telefoon of laptop en genereer binnen een minuut.

Zo gebruik je EmptySD3LatentImage

  1. Add EmptySD3LatentImage instead of Empty Latent Image.
  2. Set 1024x1024 (or another Flux size).
  3. Connect to KSampler latent_image, denoise 1.0.

Instellingen en tips

  • Flux Dev makes good 1536x1024 images directly; no hires pass needed for many uses.
  • Multiples of 16 avoid edge artifacts with Flux.
  • Qwen-Image and HiDream also use this node.

Problemen met EmptySD3LatentImage oplossen

Flux output is noise although everything else is right

Waarom het gebeurt
A 4-channel Empty Latent Image is wired into the sampler.

Zo los je het op
Swap it for EmptySD3LatentImage.

RuntimeError about channel sizes (expected 16, got 4)

Waarom het gebeurt
Same cause: the latent has the wrong channel count for the model.

Zo los je het op
Use this node for Flux/SD3 and Empty Latent Image for SD 1.5/SDXL; also check that the VAE Encode in img2img uses the Flux VAE.

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Start deze workflow vanaf je telefoon
Elke workflow op deze pagina staat voorgeïnstalleerd op BitVector, met modellen en custom nodes al op hun plek. Kies er een, typ een prompt, klaar. Nul installatie, niets te downloaden.

Vragen over EmptySD3LatentImage

Does it work for Flux Schnell?

Yes, every Flux variant uses it.

Can I use it for SDXL?

No, SDXL needs the 4-channel Empty Latent Image.

Verwante nodes

Empty Latent Image
ComfyUI core
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.
Load Diffusion Model
ComfyUI core
Load Diffusion Model (UNETLoader) loads a bare denoising network such as Flux, SD3.5, Wan or HunyuanVideo from models/diffusion_models, with a weight_dtype option for fp8 to save VRAM.
Flux Guidance
ComfyUI core
Flux Guidance (FluxGuidance) writes the guidance value into the conditioning that Flux Dev was distilled to expect, replacing cfg; 3.5 is the default and 2 to 5 the useful range.
KSampler
ComfyUI core
KSampler runs the denoising loop: it takes the model, prompts and a latent and produces the finished latent image, controlled by seed, steps, cfg, sampler, scheduler and denoise.
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Nodes repareren beu? Laat de cloud het doen
BitVector houdt honderden ComfyUI-workflows geïnstalleerd, bijgewerkt en getest op snelle cloud-GPU's. Geen Python, geen CUDA-fouten, geen VRAM-limieten. Werkt in elke browser.

Meer ComfyUI-nodes

CLIP Text Encode (Prompt)
ComfyUI core
CLIP Text Encode turns a text prompt into CONDITIONING using the model text encoder. One node holds the positive prompt, a second one the negative prompt.
ComfyUI Manager
ComfyUI-Manager
ComfyUI Manager is the extension that installs, updates and fixes custom node packs and models from inside the interface, resolves missing nodes in imported workflows and snapshots your setup.
Load Checkpoint
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Load Checkpoint (CheckpointLoaderSimple) opens a .safetensors or .ckpt model file and hands out the three parts every workflow needs: the diffusion MODEL, the CLIP text encoder and the VAE.
Save Image
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Save Image writes the IMAGE tensor to ComfyUI/output as a PNG, with the whole workflow embedded in the file metadata so the picture can be dragged back into ComfyUI to restore the graph.
VAE Decode
ComfyUI core
VAE Decode converts the sampled LATENT into a pixel IMAGE with the VAE; VAE Decode (Tiled) does the same in tiles for very large images.
Load Image
ComfyUI core
Load Image reads a picture from the ComfyUI input folder (or an upload) and outputs an IMAGE tensor plus a MASK taken from the alpha channel, the starting point for img2img, inpainting, ControlNet and IP-Adapter graphs.