Node Empty Latent Image di ComfyUI
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.
Paket node: ComfyUI core
Kategori: Latent
Halaman ini belum diterjemahkan, jadi ditampilkan dalam bahasa Inggris.
Apa yang dilakukan Empty Latent Image
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.
Input
Nama | Tipe | Artinya |
|---|---|---|
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. |
Output
Nama | Tipe | Artinya |
|---|---|---|
LATENT | LATENT | The empty latent for KSampler latent_image. |
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Cara menggunakan 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.
Pengaturan dan tips
- 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.
Pemecahan masalah Empty Latent Image
Flux / SD3 / Wan produce garbage with this node
Mengapa terjadi
Those models use 16-channel latents; Empty Latent Image makes the 4-channel SD latent.
Cara memperbaikinya
Replace it with EmptySD3LatentImage (Flux, SD3, Qwen) or the Wan / Hunyuan empty video latent nodes.
Two heads, duplicated people or tiling patterns
Mengapa terjadi
The canvas is much larger than the training resolution, so the model composes several images in one.
Cara memperbaikinya
Generate at the native size and upscale with a latent or pixel hires pass.
Error: height and width must be divisible by 8
Mengapa terjadi
A size like 1000x700 was entered.
Cara memperbaikinya
Use multiples of 8, ideally 64 (1024, 960, 896, 832, 768).
Out of memory with a batch
Mengapa terjadi
batch_size multiplies the memory the sampler needs.
Cara memperbaikinya
Lower batch_size and queue several runs instead.
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Jalankan workflow ini dari ponsel Anda
Setiap workflow di halaman ini sudah terpasang di BitVector lengkap dengan model dan node kustomnya. Pilih satu, ketik prompt, selesai. Nol penyiapan, tidak ada yang perlu diunduh.
Pertanyaan tentang Empty Latent Image
Can I make non-square images?
Yes, any aspect ratio within the model comfort zone. Keep the pixel count near the training size.
What does batch_size do to the seed?
Each image in the batch uses the base seed plus its index.
Node terkait
KSampler
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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.
EmptySD3LatentImage
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EmptySD3LatentImage creates the 16-channel empty latent that Flux, SD3 and SD3.5 need; it replaces Empty Latent Image in those workflows.
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Upscale Latent resizes a latent to a new size (or by a factor) so a second KSampler can add detail at higher resolution: the classic hires fix.
VAE Decode
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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.
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