Create first optimized workflow masters

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# Image Edit Masters
Home for maintained category masters focused on image editing, inpainting, outpainting, and reference-driven edits.
## Current masters
- `zimage-turbo-3070-inpaint-start`
- `flux2klein-9b-fp8-edit-master`
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# FLUX.2-klein 9B FP8 Edit Master
## Summary
Best current `FLUX.2-klein` image-edit master for your setup.
This is built from the official `9B distilled` template because it matches your `9B fp8` preference while still leaning toward practicality rather than the heavier `base` route.
## Status
- `best-current`
- `not-yet-tested-on-chris-box`
## Workflow asset
- `workflow.json`
## Built from
- `models/flux2klein/image-edit-9b-distilled/`
## Why this is the current master
- Matches your default family: `FLUX.2-klein 9B fp8`
- Official Comfy template is a safer foundation than community pages with weak provenance.
- Distilled is the most sensible first optimization bias for a `3070`.
## What I intentionally kept
- official Comfy node layout
- official `9B fp8` model path
- official text-encoder pairing
- speed-first distilled route
## What I intentionally did not add yet
- community `GGUF` ideas
- KV-cache experimentation
- extra custom-node edits with unclear payoff
- a fake outpainting claim before we prove it on your machine
## Required models
- `models/diffusion_models/flux-2-klein-9b-fp8.safetensors`
- `models/text_encoders/qwen_3_8b_fp8mixed.safetensors`
- `models/vae/flux2-vae.safetensors`
## Required custom nodes
- none beyond current official Comfy support for the template nodes
## Monday test checklist
- Confirm the model paths line up with your local layout.
- Test a plain edit, then an expand-canvas outpaint attempt.
- Compare `9B distilled` behavior against any `4B distilled` outpaint workflow you already trust.
## Next optimization candidates
- clone this into a dedicated outpaint master if the graph behaves well
- borrow only proven community prompt or graph hygiene improvements
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# Z-Image Turbo 3070 Inpaint Start
## Summary
Best current `Z-Image` edit starter for inpainting on tighter VRAM.
This master is a curated hold of the community inpainting workflow because it gives us a real edit path while still staying more plausible on a `3070` than heavier image stacks.
## Status
- `best-current`
- `not-yet-tested-on-chris-box`
## Workflow asset
- `workflow.json`
## Built from
- `models/zimage/z-image-turbo-inpainting-community/`
## Why this is the current master
- It is the strongest actual `Z-Image Turbo` edit workflow we have right now.
- Editing matters more than toy text-to-image wins for practical day-to-day use.
- The graph is specific enough to be useful without being a giant kitchen-sink workflow.
## What I intentionally kept
- inpainting-focused graph shape
- existing `ZImageFunControlnet` route
- community sampler path that is already wired for edit work
## What I intentionally did not add yet
- control-union extras from the separate community workflow
- any manual sampler surgery before real testing
- any claim that this is better than `FLUX.2-klein` for edits
## Required models
- `models/text_encoders/qwen_3_4b.safetensors`
- `models/diffusion_models/z_image_turbo_bf16.safetensors`
- `models/vae/ae.safetensors`
## Required custom nodes
- `rgthree-comfy`
- the package that provides `LanPaint_KSampler`
- the package that provides `ZImageFunControlnet`
## Monday test checklist
- Confirm missing custom nodes first.
- Check whether masked edits are stable enough to keep.
- Compare it directly against the `flux2klein` edit master on the same input.
## Next optimization candidates
- reduce custom-node dependency count if the graph is good but fragile
- borrow only the useful control ideas from the community control-union workflow
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