Z-Image Turbo + DyPE + SeedVR2 2.5 + TTP 16k reso
16k
8k
DyPE
SeedVR2
Text2Image
Upscale
Z-Image Turbo
6
1.2k
Overview
Z-Image Turbo is a 6B text-to-image diffusion transformer from Tongyi that produces photorealistic images with very low latency, making it ideal as the “base generator” for your pipeline. DyPE (Dynamic Position Extrapolation) is a training‑free method that modifies positional encodings so existing diffusion models can generate ultra‑high‑resolution images (4K and beyond) while keeping coherent global structure. SeedVR2.5 and the ComfyUI TTP Toolset then handle tile‑based, detail‑preserving upscaling to 8K–16K and higher, focusing on sharpness, texture, and artifact‑free enlargement.
Who can use it
This combined workflow is useful for:
Artists and illustrators who want to iterate quickly at normal resolution, then deliver gallery, poster, and merch‑ready art up to 8K–16K.
Content creators, brands, and marketers who need a single master key visual that can be cropped for thumbnails, banners, and large displays without losing detail.
Game, film, and VFX teams needing very large, detailed plates or concept frames that can be panned and zoomed in 4K/8K productions.
ComfyUI power users building node graphs that separate creation (Z-Image Turbo), ultra‑res generation (DyPE), and final tiling/upscale (SeedVR2.5 + TTP).
Use case workflow
A common pipeline looks like this:
Generate at working resolution with Z-Image Turbo (for example 1K–2K), iterating prompts until composition and style are right.
Re‑run the chosen prompt with DyPE enabled to produce a coherent 4K‑class image from the same model, without retraining.
Upscale that 4K base to 8K using SeedVR2.5, which focuses on preserving texture and structure while removing blur and compression artifacts.
If needed, push further to 12K–16K using the ComfyUI TTP Toolset’s tile upscaling, which slices the image into tiles, enhances each tile, and recombines them for huge, detailed outputs.
This staged approach keeps generation fast while you are exploring, and only spends heavy compute on DyPE, SeedVR2.5, and TTP once you have a locked final image ready for ultra‑high‑resolution export.
Read more
Nodes & Models
UpscaleModelLoader
4xNomos8kHAT-L_otf.pth
CLIPLoader
qwen_3_4b.safetensors
UNETLoader
z_image_turbo_bf16.safetensors
MarkdownNote
CLIPTextEncode
LoraLoaderModelOnly
dejpeg_v3.safetensors
EmptySD3LatentImage
ConditioningZeroOut
ModelSamplingAuraFlow
KSampler
VAEDecode
PreviewImage
ImageUpscaleWithModel
ImageScaleBy
SaveImage
Resolution
SeedVR2LoadVAEModel
ema_vae_fp16.safetensors
SeedVR2LoadDiTModel
seedvr2_ema_7b_fp16.safetensors
SeedVR2VideoUpscaler
DyPE_FLUX
ImageResize+
GetImageSize+
LayerFilter: Sharp & Soft
TTP_Tile_image_size
TTP_Image_Tile_Batch
TTP_Image_Assy
Image Comparer (rgthree)
Overview
Z-Image Turbo is a 6B text-to-image diffusion transformer from Tongyi that produces photorealistic images with very low latency, making it ideal as the “base generator” for your pipeline. DyPE (Dynamic Position Extrapolation) is a training‑free method that modifies positional encodings so existing diffusion models can generate ultra‑high‑resolution images (4K and beyond) while keeping coherent global structure. SeedVR2.5 and the ComfyUI TTP Toolset then handle tile‑based, detail‑preserving upscaling to 8K–16K and higher, focusing on sharpness, texture, and artifact‑free enlargement.
Who can use it
This combined workflow is useful for:
Artists and illustrators who want to iterate quickly at normal resolution, then deliver gallery, poster, and merch‑ready art up to 8K–16K.
Content creators, brands, and marketers who need a single master key visual that can be cropped for thumbnails, banners, and large displays without losing detail.
Game, film, and VFX teams needing very large, detailed plates or concept frames that can be panned and zoomed in 4K/8K productions.
ComfyUI power users building node graphs that separate creation (Z-Image Turbo), ultra‑res generation (DyPE), and final tiling/upscale (SeedVR2.5 + TTP).
Use case workflow
A common pipeline looks like this:
Generate at working resolution with Z-Image Turbo (for example 1K–2K), iterating prompts until composition and style are right.
Re‑run the chosen prompt with DyPE enabled to produce a coherent 4K‑class image from the same model, without retraining.
Upscale that 4K base to 8K using SeedVR2.5, which focuses on preserving texture and structure while removing blur and compression artifacts.
If needed, push further to 12K–16K using the ComfyUI TTP Toolset’s tile upscaling, which slices the image into tiles, enhances each tile, and recombines them for huge, detailed outputs.
This staged approach keeps generation fast while you are exploring, and only spends heavy compute on DyPE, SeedVR2.5, and TTP once you have a locked final image ready for ultra‑high‑resolution export.
Read more