F.1-Kontext-Prime Model to Rendering-V3.0

architecture

rendering

Generates in about -- secs

xiaoyaoyiling

Nodes & Models

ComfyUI Official

KSamplerSelect

VAELoader

DualCLIPLoader

RandomNoise

UNETLoader

UpscaleModelLoader

Text Multiline

LoadImage

BasicScheduler

LoraLoader

LoraLoaderModelOnly

VAEEncode

CLIPTextEncode

ReferenceLatent

FluxGuidance

KSampler

BasicGuider

VAEDecode

ImageResizeKJ

SaveImage

ImageUpscaleWithModel

ImageScaleToTotalPixels

TTP_Tile_image_size

TTP_Image_Tile_Batch

SamplerCustomAdvanced

VAEDecodeTiled

TTP_Image_Assy

Image Comparer (rgthree)

ComfyUI-Custom-Scripts

ConstrainImage|pysssss

ComfyUI_JPS-Nodes

Text Concatenate (JPS)

ComfyUI-MingNodes

BaiduTranslateNode

Based on specialized training using 50 MIR effect images (including aerial views, human perspectives, indoor scenes, outdoor scenes, and various perspectives), there has been a qualitative leap in rendering quality. Meanwhile, the accuracy of the generated effect images is ensured by the powerful control capabilities of Kontext.

Based on F.1 Kontext's one-click effect diagram Lora, it is designed for architectural design and drawing purposes,

Paired with the F.1 Kontext dev large model, Rhino model screenshots or Enscape grass renderings can be directly rendered.