64 lines
2.5 KiB
Markdown
64 lines
2.5 KiB
Markdown
# All-in-One FluxDev v0.2
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## Summary
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Large multi-purpose `FLUX.1-dev` workflow that combines text-to-image, image-to-image, LoRA loading, ControlNet, negative-prompt-style experimentation, simple inpainting, and iterative upscale/detailing in one graph.
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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/Ling-APE/ComfyUI-All-in-One-FluxDev-Workflow>
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- Workflow file: <https://raw.githubusercontent.com/Ling-APE/ComfyUI-All-in-One-FluxDev-Workflow/main/All-in-One-FluxDev-v0.2.json>
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- Original author: `Ling-APE`
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- Date imported: `2026-08-08`
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## Developer notes
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- The author describes this as a personal "all in one" interpretation rather than the single correct way to use FLUX.
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- The workflow leans heavily on `Use Everywhere` nodes to keep a large graph manageable.
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- It supports switching between text-to-image and image-to-image, optional ControlNet and LoRA loading, two different sampling approaches, simple inpainting, and a high-res fix style upscale path.
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- The author notes that the included XLabs ControlNet tests worked best with minimal prompting, square-ish setups, and guidance around `4`.
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- A converted ComfyUI-friendly version of the XLabs realism LoRA is recommended by the author.
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- The repo also mentions optional Ollama + Florence2 helpers for captioning and prompt assistance.
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## Our notes
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- This is the most feature-rich import in the current `flux` folder, but it is also the messiest dependency-wise.
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- Good candidate when you want one workflow to dissect and mine for ideas rather than the cleanest daily-driver graph.
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- If you only want one FLUX workflow that covers a lot of territory, this is the most "toolbox" option of the five.
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- Expect node drift over time because it pulls from several custom packs and a 2024-era FLUX experimentation stack.
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## Required custom nodes
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- `cg-use-everywhere` / `Use Everywhere`
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- `ComfyUI-Inspire-Pack`
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- `ComfyUI-Impact-Pack`
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- `ComfyUI-TiledDiffusion`
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- `ComfyUI-Florence2`
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- `comfyui-ollama`
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- `rgthree-comfy`
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- `pysssss` custom scripts
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- `ComfyUI-Crystools`
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- `ComfyUI-PixelResolutionCalculator`
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- likely `ComfyUI-KJNodes` or equivalent schedule-hook providers used by the upscale section
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## Built-in / core nodes used
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- FLUX guidance and sampling nodes
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- UNET / VAE / CLIP loaders
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- ControlNet loader/apply
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- LoRA loader
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- VAE encode/decode
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## Notes
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- Best use: hybrid experimentation, not a minimal clean import.
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- If missing-node resolution gets annoying, start with the simpler workflows in this repo first and come back to this one later.
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