Add five useful FLUX workflows

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Morpheus
2026-08-08 20:44:12 +00:00
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# All-in-One FluxDev v0.2
## Summary
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.
## Model Family
- `flux`
## Status
- `imported-only`
## Source
- Original page: <https://github.com/Ling-APE/ComfyUI-All-in-One-FluxDev-Workflow>
- Workflow file: <https://raw.githubusercontent.com/Ling-APE/ComfyUI-All-in-One-FluxDev-Workflow/main/All-in-One-FluxDev-v0.2.json>
- Original author: `Ling-APE`
- Date imported: `2026-08-08`
## Developer notes
- The author describes this as a personal "all in one" interpretation rather than the single correct way to use FLUX.
- The workflow leans heavily on `Use Everywhere` nodes to keep a large graph manageable.
- 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.
- The author notes that the included XLabs ControlNet tests worked best with minimal prompting, square-ish setups, and guidance around `4`.
- A converted ComfyUI-friendly version of the XLabs realism LoRA is recommended by the author.
- The repo also mentions optional Ollama + Florence2 helpers for captioning and prompt assistance.
## Our notes
- This is the most feature-rich import in the current `flux` folder, but it is also the messiest dependency-wise.
- Good candidate when you want one workflow to dissect and mine for ideas rather than the cleanest daily-driver graph.
- If you only want one FLUX workflow that covers a lot of territory, this is the most "toolbox" option of the five.
- Expect node drift over time because it pulls from several custom packs and a 2024-era FLUX experimentation stack.
## Required custom nodes
- `cg-use-everywhere` / `Use Everywhere`
- `ComfyUI-Inspire-Pack`
- `ComfyUI-Impact-Pack`
- `ComfyUI-TiledDiffusion`
- `ComfyUI-Florence2`
- `comfyui-ollama`
- `rgthree-comfy`
- `pysssss` custom scripts
- `ComfyUI-Crystools`
- `ComfyUI-PixelResolutionCalculator`
- likely `ComfyUI-KJNodes` or equivalent schedule-hook providers used by the upscale section
## Built-in / core nodes used
- FLUX guidance and sampling nodes
- UNET / VAE / CLIP loaders
- ControlNet loader/apply
- LoRA loader
- VAE encode/decode
## Notes
- Best use: hybrid experimentation, not a minimal clean import.
- If missing-node resolution gets annoying, start with the simpler workflows in this repo first and come back to this one later.