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Powered By RTX 4090
作者：Wei
此 ComfyUI 工作流程旨在通过利用强大的 Flux 模型和 ControlNet 升频器来提高图像分辨率。无论您是在处理低分辨率图像还是只想细化细节，此工作流程都能以巨大的放大倍数提供令人印象深刻的结果，保留眼睛、头发和复杂纹理等特征的锐度和清晰度。它针对需要在低内存系统 (GGUF) 上获得高质量输出的用户进行了优化，并包含可根据各种需求微调流程的选项。
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下载
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mayi
2025-01-15 更新
mayi
2025-01-15 更新
工作流介绍
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作者：Wei
此 ComfyUI 工作流程旨在通过利用强大的 Flux 模型和 ControlNet 升频器来提高图像分辨率。无论您是在处理低分辨率图像还是只想细化细节，此工作流程都能以巨大的放大倍数提供令人印象深刻的结果，保留眼睛、头发和复杂纹理等特征的锐度和清晰度。它针对需要在低内存系统 (GGUF) 上获得高质量输出的用户进行了优化，并包含可根据各种需求微调流程的选项。
节点信息
26
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Primitive Nodes (12)CLIPTextEncode
ControlNetApplyAdvanced
ControlNetLoader
DualCLIPLoader
ImageScaleBy
KSampler
LoadImage
SaveImage
UNETLoader
VAEDecode
VAEEncode
VAELoader
Custom Nodes (14)CR Set Value On Boolean
DownloadAndLoadFlorence2Lora
DownloadAndLoadFlorence2Model
DualCLIPLoaderGGUF
Florence2Run
FluxGuidance
Image Comparer (rgthree)
ImpactSwitch
Note
ReroutePrimitive|pysssss
SimpleMathBoolean+
UnetLoaderGGUF
easy imageSize
easy showAnything