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Nodo Ultimate SD Upscale in ComfyUI

Ultimate SD Upscale enlarges a picture with an ESRGAN model, then re-samples it tile by tile through the diffusion model with your prompt at low denoise, adding real detail at 2x-4x without running out of VRAM.
Pacchetto di nodi: ComfyUI_UltimateSDUpscale
Categoria: Upscaling
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Cosa fa Ultimate SD Upscale

The node from the ComfyUI_UltimateSDUpscale pack (a port of the A1111 script) combines two ideas: a pixel upscaler enlarges the image, then the result is split into tiles of tile_width x tile_height, and each tile is re-rendered by the sampler with the prompt at a low denoise (0.2-0.4), so the model paints in texture, skin, fabric and foliage detail. Overlapping tiles and an optional seam fix pass hide the joins.
Because each tile is a normal sampler pass at model resolution, the node works on any GPU that can render a single picture, regardless of the final size. It takes the same MODEL, positive, negative and VAE as your main KSampler plus an upscale model, and is often paired with a Tile ControlNet to keep each tile faithful to the original.

Ingressi

Nome
Tipo
Cos'è
image
IMAGE
The picture to upscale.
model / positive / negative / vae
MODEL, CONDITIONING, VAE
Same connections as KSampler.
upscale_model
UPSCALE_MODEL
ESRGAN model for the first pixel upscale.
upscale_by
FLOAT
Final factor, typically 2.0.
seed / steps / cfg / sampler_name / scheduler / denoise
sampler settings
Denoise 0.2-0.4 keeps the picture; higher values redraw it.
mode_type
COMBO
Linear, Chess (recommended) or None (upscale only).
tile_width / tile_height / mask_blur / tile_padding
INT
Tile size (1024 for SDXL, 512-768 for SD1.5), blur and overlap.
seam_fix_mode
COMBO
None, Band Pass, Half Tile, Half Tile + Intersections.
force_uniform_tiles / tiled_decode
BOOLEAN
Equal tiles; tiled VAE decode for low VRAM.

Uscite

Nome
Tipo
Cos'è
IMAGE
IMAGE
The upscaled, re-detailed picture.
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Come usare Ultimate SD Upscale

  1. Install the pack through ComfyUI Manager (search "Ultimate SD Upscale").
  2. Connect the decoded IMAGE, the same model/positive/negative/VAE as your sampler, and an upscale model.
  3. Set upscale_by 2.0, denoise 0.3, steps 20, mode Chess, tile 1024 for SDXL.
  4. Optionally add Apply ControlNet with a Tile ControlNet to the positive before this node.
  5. Queue, then compare with the input at 100% zoom; raise denoise for more detail, lower it for fidelity.

Impostazioni e consigli

  • Keep the prompt generic ("highly detailed, sharp focus") or reuse the original; detailed subject prompts can repeat the subject in every tile.
  • Denoise above 0.45 without a Tile ControlNet invents faces and objects in tiles.
  • Chess mode plus Half Tile seam fix hides nearly all joins.
  • For 4x, run the node twice at 2x rather than once at 4x.
  • tiled_decode saves VRAM at the final decode on 8 GB cards.

Risoluzione dei problemi di Ultimate SD Upscale

Faces or objects appear in textures (grass, walls)

Perché succede
Denoise too high for the prompt and no Tile ControlNet to anchor the content.

Come risolverlo
Lower denoise to 0.25-0.35, shorten the prompt, or add a Tile ControlNet at strength 0.5-0.8.

Visible grid of tiles

Perché succede
seam_fix_mode None, small tile_padding, or Linear mode with a strong denoise.

Come risolverlo
Use Chess mode, tile_padding 32-64, mask_blur 8-16 and seam fix Half Tile.

Very slow: hundreds of tiles

Perché succede
A large upscale_by with small tiles multiplies the number of sampler passes.

Come risolverlo
Use the largest tile the model supports (1024 for SDXL) and upscale in two 2x stages.

The node is missing after import (red node)

Perché succede
The pack is not installed or failed to import because of a missing dependency.

Come risolverlo
Install "ComfyUI_UltimateSDUpscale" in ComfyUI Manager, restart, and check the console for import errors.

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Domande su Ultimate SD Upscale

Do I need the Tile ControlNet?

Not required, but it allows a higher denoise without content drift. For SDXL use a Tile or TTPlanet tile model.

Can I use it without an upscale model?

Yes: set upscale_model to None (or use Ultimate SD Upscale (No Upscale) on an already enlarged picture).

Flux support?

Yes, with cfg 1.0 and Flux Guidance in the positive conditioning; tiles of 1024 and denoise around 0.3.

Nodi correlati

Upscale Image (using Model)
ComfyUI core
Upscale Image (using Model) runs an ESRGAN-style upscaler (4x-UltraSharp, RealESRGAN, 4x_NMKD-Siax, 4x_foolhardy_Remacri) over an IMAGE and returns it enlarged by the model's fixed factor with added detail.
Apply ControlNet
ComfyUI core
Apply ControlNet attaches a guide image and a loaded ControlNet to the positive and negative CONDITIONING with strength and start/end percentages, so the sampler follows edges, depth or pose from the guide.
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.
Upscale Latent and Upscale Latent By
ComfyUI core
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.
FaceDetailer (Impact Pack)
ComfyUI-Impact-Pack
FaceDetailer finds faces (or hands, eyes) with a YOLO detector, crops each one, re-renders it at full resolution with your model and prompt, and pastes it back, fixing the small, mushy faces in wide shots.
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Altri nodi ComfyUI

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
ComfyUI core
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
ComfyUI core
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.
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.