RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2112077292083163137?inviteCode=rh-v1111
RunningHub China: https://www.runninghub.cn/post/2112055084015247361/?inviteCode=rh-v1111
Bilibili tutorial video: https://www.bilibili.com/video/BV11xJo6nEFh/
# FLUX 3 Klein — RunningHub ZIP Reconstruction Workflow
## What this workflow does
Study how a ZIP input and naming metadata are connected to individual-image and archive outputs.
## Who should use it
ComfyUI users able to resolve compatible node versions, provide authorized images, and inspect actual outputs. This is one independent workflow, not a verified result package or a new model checkpoint.
## Requirements
Common loader references: `flux3_image_klein_sd_int8_convrot.safetensors`, `qwen3vl_4b_int8_convrot.safetensors`, `flux2-vae.safetensors`, and `RealESRGAN_x4plus.pth`. Weights, example inputs, and a tested installation lockfile are not included.
List mapping and automatic per-image processing depend on installed node versions. A metadata connection is not proof of preserved names or complete archives. No batch run or cost measurement is included.
## Configuration and steps
HAIGC_LoadImagesFromZip 17 feeds the upscaler, RH caption node 16, and comparer. Decoder 6 feeds SaveImage 5 and HAIGC_SaveImagesToZip 18. Naming information connects from loader output slot 6 to the ZIP saver’s naming input.
Resolve the HAIGC plugin and service configuration first. The source note recommends testing three images of mixed orientations. Use distinguishable names and contents; check output count, name-to-image pairing, dimensions, individual saves, and archive completeness before a large batch. Node 5 uses prefix AIKSK_FLUX3_KLEIN_FINAL_RH_BATCH.
The image path passes through model upscaling, ImageScaleToMaxDimension, ReferenceMultiLatent, sampling, and VAE decoding. The scaling node stores ["lanczos", 3840], and its title/note describe a long-edge target. ReferenceMultiLatent stores keep resolution. The sampler array is [9527, "fixed", 16, 1, "euler", "simple", 1]; the source titles/notes call it a 16-step/CFG1 preset, but the export lacks a complete named widget schema. Confirm the matching UI instead of inventing parameter mappings. No fixed 3840×2160 size, unchanged aspect ratio, improved quality, or successful output is verified.
## Files
- [Workflow JSON]()
- [Promotional cover]()
## Version note and limitations
The JSON retains the supplied source bytes. This copy does not announce a new publication, model version, performance upgrade, or relationship to an existing remote project. Cover artwork is not a verified inference sample; supply a real reviewed sample separately if required.
No new runtime, GPU, cost, quality, or batch-completion evidence is included. A requested caption, stored target, or progress value is not an output guarantee. Verify installation, image-transfer permissions, effective naming/type settings, and actual results before deployment.
## Credits, tutorial, and rights
The workflow is supplied through AI-KSK with source notes retained. A matching international tutorial URL has not been confirmed from the supplied metadata; no replacement is guessed. Verify rights for workflows, node code, weights, cover artwork, and source images separately. Regeneration does not remove source-image obligations or create blanket redistribution permission.
Description
RunningHub workflow page: https://www.runninghub.ai/zh-cn/post/2112077292083163137?inviteCode=rh-v1111
RunningHub China: https://www.runninghub.cn/post/2112055084015247361/?inviteCode=rh-v1111
Bilibili tutorial video: https://www.bilibili.com/video/BV11xJo6nEFh/
# FLUX 3 Klein — RunningHub ZIP Reconstruction Workflow
## What this workflow does
Study how a ZIP input and naming metadata are connected to individual-image and archive outputs.
## Who should use it
ComfyUI users able to resolve compatible node versions, provide authorized images, and inspect actual outputs. This is one independent workflow, not a verified result package or a new model checkpoint.
## Requirements
Common loader references: `flux3_image_klein_sd_int8_convrot.safetensors`, `qwen3vl_4b_int8_convrot.safetensors`, `flux2-vae.safetensors`, and `RealESRGAN_x4plus.pth`. Weights, example inputs, and a tested installation lockfile are not included.
List mapping and automatic per-image processing depend on installed node versions. A metadata connection is not proof of preserved names or complete archives. No batch run or cost measurement is included.
## Configuration and steps
HAIGC_LoadImagesFromZip 17 feeds the upscaler, RH caption node 16, and comparer. Decoder 6 feeds SaveImage 5 and HAIGC_SaveImagesToZip 18. Naming information connects from loader output slot 6 to the ZIP saver’s naming input.
Resolve the HAIGC plugin and service configuration first. The source note recommends testing three images of mixed orientations. Use distinguishable names and contents; check output count, name-to-image pairing, dimensions, individual saves, and archive completeness before a large batch. Node 5 uses prefix AIKSK_FLUX3_KLEIN_FINAL_RH_BATCH.
The image path passes through model upscaling, ImageScaleToMaxDimension, ReferenceMultiLatent, sampling, and VAE decoding. The scaling node stores ["lanczos", 3840], and its title/note describe a long-edge target. ReferenceMultiLatent stores keep resolution. The sampler array is [9527, "fixed", 16, 1, "euler", "simple", 1]; the source titles/notes call it a 16-step/CFG1 preset, but the export lacks a complete named widget schema. Confirm the matching UI instead of inventing parameter mappings. No fixed 3840×2160 size, unchanged aspect ratio, improved quality, or successful output is verified.
## Files
- [Workflow JSON]()
- [Promotional cover]()
## Version note and limitations
The JSON retains the supplied source bytes. This copy does not announce a new publication, model version, performance upgrade, or relationship to an existing remote project. Cover artwork is not a verified inference sample; supply a real reviewed sample separately if required.
No new runtime, GPU, cost, quality, or batch-completion evidence is included. A requested caption, stored target, or progress value is not an output guarantee. Verify installation, image-transfer permissions, effective naming/type settings, and actual results before deployment.
## Credits, tutorial, and rights
The workflow is supplied through AI-KSK with source notes retained. A matching international tutorial URL has not been confirmed from the supplied metadata; no replacement is guessed. Verify rights for workflows, node code, weights, cover artwork, and source images separately. Regeneration does not remove source-image obligations or create blanket redistribution permission.