Flux_TTP_Tile Ultra-clear Restoration Workflow
Block Processing with Stable Composition:
Through Tile Block Technology, achieve high-definition restoration while maintaining the original composition stability, avoiding overall distortion issues caused by traditional enlargement methods
Two-Stage Refinement Enlargement:
Utilizing a dual-stage mechanism of model enlargement and pixel optimization, it not only improves resolution but also enhances detail representation, supporting a leap from megapixels to 8 million pixels
(For portraits, it is recommended to use another SUPIR Enlargement Workflow by Xiao Mo)
Flux Ultra-clear Enlargement_Image Restoration
669 Views5 Likes39 Favorites
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39小莫MO的舒适ui
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小莫MO的舒适ui
2025-02-27 Update
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Workflow introduction
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Flux_TTP_Tile Ultra-clear Restoration Workflow
Block Processing with Stable Composition:
Through Tile Block Technology, achieve high-definition restoration while maintaining the original composition stability, avoiding overall distortion issues caused by traditional enlargement methods
Two-Stage Refinement Enlargement:
Utilizing a dual-stage mechanism of model enlargement and pixel optimization, it not only improves resolution but also enhances detail representation, supporting a leap from megapixels to 8 million pixels
(For portraits, it is recommended to use another SUPIR Enlargement Workflow by Xiao Mo)
Nodes Information
23
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Primitive Nodes (8)CLIPTextEncode
DualCLIPLoader
LoadImage
SaveImage
UNETLoader
VAEDecode
VAEEncode
VAELoader
Custom Nodes (15)BasicGuider
BasicScheduler
FluxGuidance
Image Comparer (rgthree)
ImageResizeKJ
ImageScaleToTotalPixels
ImageUpscaleWithModel
KSamplerSelect
Label (rgthree)
RandomNoise
SamplerCustomAdvanced
TTP_Image_Assy
TTP_Image_Tile_Batch
TTP_Tile_image_size
UpscaleModelLoader
Flux_TTP_Tile Ultra-clear Restoration Workflow
Block Processing with Stable Composition:
Through Tile Block Technology, achieve high-definition restoration while maintaining the original composition stability, avoiding overall distortion issues caused by traditional enlargement methods
Two-Stage Refinement Enlargement:
Utilizing a dual-stage mechanism of model enlargement and pixel optimization, it not only improves resolution but also enhances detail representation, supporting a leap from megapixels to 8 million pixels
(For portraits, it is recommended to use another SUPIR Enlargement Workflow by Xiao Mo)
Nodes Information
23
Primitive Nodes (8)CLIPTextEncode
DualCLIPLoader
LoadImage
SaveImage
UNETLoader
VAEDecode
VAEEncode
VAELoader
Custom Nodes (15)BasicGuider
BasicScheduler
FluxGuidance
Image Comparer (rgthree)
ImageResizeKJ
ImageScaleToTotalPixels
ImageUpscaleWithModel
KSamplerSelect
Label (rgthree)
RandomNoise
SamplerCustomAdvanced
TTP_Image_Assy
TTP_Image_Tile_Batch
TTP_Tile_image_size
UpscaleModelLoader