51 lines
1.9 KiB
Markdown
51 lines
1.9 KiB
Markdown
# Flow Upscaler
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## Summary
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Fast latent upscaler for the `FLUX.2` family. It takes existing FLUX latents and upscales them in latent space, so you can push images much larger without relying only on classic pixel upscalers.
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## Model Family
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- `flux`
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## Status
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- `imported-only`
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## Source
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- Original page: <https://github.com/tensorforger/comfyui-flow-upscaler>
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- Workflow file: <https://raw.githubusercontent.com/tensorforger/comfyui-flow-upscaler/main/workflow.json>
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- Original author: `TensorForger`
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- Date imported: `2026-08-08`
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## Developer notes
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- The author positions this as a fast latent upscaler trained in `Flux.2` latent space.
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- The model is trained for `2x` upscaling, but multiple passes can be chained for much larger outputs.
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- The README recommends the tiny `Flux.2` VAE (`taef2`) for `2048x2048` and above because the original VAE becomes impractical at high resolutions.
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- The workflow included in the repo is the demo path the author expects people to load first.
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## Our notes
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- This is one of the most practically useful imports here because it solves a real workflow problem instead of just offering another generation variant.
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- It looks especially relevant if you end up using `FLUX.2-klein` or other lighter FLUX-family generation paths and want cleaner high-res finishing.
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- It is more specialized than a generic Ultimate SD Upscale graph, which is a good thing if you want something clearly tied to the FLUX latent stack.
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## Required custom nodes
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- `comfyui-flow-upscaler`
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- `rgthree-comfy` for `Image Comparer`
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## Built-in / core nodes used
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- `Flux2Scheduler`
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- `EmptyFlux2LatentImage`
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- standard CLIP / UNET / VAE loaders
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- sampler selection and advanced sampler nodes
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## Notes
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- Model weights are separate from this workflow and need to be downloaded from the source repo's linked Hugging Face page.
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- Best use: upscale a good FLUX-family image after the composition is already right.
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