Reset optimized workflows to Flux2 Klein baseline
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Morpheus
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# Image Edit Masters
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Home for maintained category masters focused on image editing, inpainting, outpainting, and reference-driven edits.
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This category may keep up to two maintained workflows: one default winner and one specialist or challenger.
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## Current masters
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- `flux2klein-9b-fp8-edit-master`
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- `zimage-turbo-3070-inpaint-start`
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## Roles
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- `flux2klein-9b-fp8-edit-master`
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Current default edit master and present benchmark winner for Chris's setup.
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- `zimage-turbo-3070-inpaint-start`
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Secondary inpaint-focused challenger kept for comparison and niche masked-edit work.
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## README rule
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Every image-edit master README should carry a compact run record for meaningful tuning changes.
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Minimum fields to record:
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- positive prompt
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- negative prompt
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- CFG
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- steps
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- sampler
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- scheduler
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- seed
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- denoise
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- resolution
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- checkpoint / model
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- VAE
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- LoRAs
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- ControlNets or other guidance nodes
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- mask or inpaint settings
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- node-level graph changes
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# FLUX.2-klein 9B FP8 Edit Master
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## Summary
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Best current `FLUX.2-klein` image-edit master for your setup.
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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.
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## Status
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- `best-current`
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- `tested-on-chris-box`
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## Workflow asset
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- `workflow.json`
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## Built from
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- `models/flux2klein/image-edit-9b-distilled/`
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## Why this is the current master
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- Matches your default family: `FLUX.2-klein 9B fp8`
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- Official Comfy template is a safer foundation than community pages with weak provenance.
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- Distilled is the most sensible first optimization bias for a `3070`.
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- The 2026-08-28 smoke test on this box produced another clean full-body white-background reference, which keeps this as the current practical master.
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## What I intentionally kept
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- official Comfy node layout
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- official `9B fp8` model path
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- official text-encoder pairing
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- speed-first distilled route
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## What I intentionally did not add yet
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- community `GGUF` ideas
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- KV-cache experimentation
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- extra custom-node edits with unclear payoff
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- a fake outpainting claim before we prove it on your machine
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## Change Record
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Fill this out whenever the master is materially updated so we can see exactly what changed, not just that something changed.
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- Positive prompt: not recorded yet
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- Negative prompt: not recorded yet
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- CFG: `1`
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- Steps: `4`
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- Sampler: `euler`
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- Scheduler: not recorded yet
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- Seed: `26416064315367`
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- Denoise: not recorded yet
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- Resolution: `1536x864`
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- Checkpoint / model: `models/diffusion_models/flux-2-klein-9b-fp8.safetensors`
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- VAE: `models/vae/full_encoder_small_decoder.safetensors`
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- Text encoder(s): `models/text_encoders/qwen_3_8b_fp8mixed.safetensors`
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- LoRAs: none recorded yet
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- ControlNets / guidance nodes: none recorded yet
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- Masks / inpaint settings: not recorded yet
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- Node-level graph changes: aligned both saved diffusion-model widgets to the real `flux-2-klein-9b-fp8.safetensors` filename and kept the shared `full_encoder_small_decoder.safetensors` VAE; the 2026-08-28 single-image smoke held cleanly at `4` steps, `cfg 1`, `1536x864`, with `euler` and noise seed `26416064315367`
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- Smoke test: `2026-08-27`, `4` steps, `cfg 1`, `1536x864`, output `benchmarks/flux2klein/runs/2026-08-27T02-08-31-134Z-single-smoke/cases/case01/01-flux2klein-overnight-smoke_00002_.png`
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- Smoke test: `2026-08-28`, `4` steps, `cfg 1`, `1536x864`, output `benchmarks/flux2klein/runs/2026-08-28T02-07-42-007Z-single-smoke/cases/case01/01-flux2klein-overnight-smoke_00003_.png`
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- Smoke test: `2026-08-31`, `4` steps, `cfg 1`, `1536x864`, output `benchmarks/flux2klein/runs/2026-08-31T02-08-05-386Z-single-smoke/cases/case01/01-flux2klein-overnight-smoke_00004_.png`
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- Why this change was made: keep the master aligned with your `9B fp8` preference and the actual saved model filenames while staying more practical than the heavier base route
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- Why this was reviewed again: no graph change was needed, but the 2026-08-31 smoke confirmed the current master still holds up as the benchmark winner for now, so keep it pinned and queue one more smoke test before broader promotion
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## Required models
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- `models/diffusion_models/flux-2-klein-9b-fp8.safetensors`
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- `models/text_encoders/qwen_3_8b_fp8mixed.safetensors`
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- `models/vae/full_encoder_small_decoder.safetensors`
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## Required custom nodes
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- none beyond current official Comfy support for the template nodes
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## Monday test checklist
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- Confirm the model paths line up with your local layout.
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- Test a plain edit, then an expand-canvas outpaint attempt.
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- Compare `9B distilled` behavior against any `4B distilled` outpaint workflow you already trust.
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## Next optimization candidates
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- clone this into a dedicated outpaint master if the graph behaves well
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- borrow only proven community prompt or graph hygiene improvements
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# Z-Image Turbo 3070 Inpaint Start
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## Summary
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Best current `Z-Image` edit starter for inpainting on tighter VRAM.
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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.
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## Status
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- `best-current`
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- `not-yet-tested-on-chris-box`
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## Workflow asset
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- `workflow.json`
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## Built from
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- `models/zimage/z-image-turbo-inpainting-community/`
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## Why this is the current master
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- It is the strongest actual `Z-Image Turbo` edit workflow we have right now.
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- Editing matters more than toy text-to-image wins for practical day-to-day use.
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- The graph is specific enough to be useful without being a giant kitchen-sink workflow.
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## What I intentionally kept
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- inpainting-focused graph shape
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- existing `ZImageFunControlnet` route
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- community sampler path that is already wired for edit work
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## What I intentionally did not add yet
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- control-union extras from the separate community workflow
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- any manual sampler surgery before real testing
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- any claim that this is better than `FLUX.2-klein` for edits
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## Change Record
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Fill this out whenever the master is materially updated so we can see exactly what changed, not just that something changed.
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- Positive prompt: not recorded yet
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- Negative prompt: not recorded yet
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- CFG: not recorded yet
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- Steps: not recorded yet
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- Sampler: community inpaint sampler path retained; exact values not recorded yet
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- Scheduler: not recorded yet
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- Seed: not recorded yet
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- Denoise: not recorded yet
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- Resolution: not recorded yet
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- Checkpoint / model: `models/diffusion_models/zImageTurbo_turbo.safetensors`
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- VAE: `models/vae/ae.safetensors`
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- Text encoder(s): `models/text_encoders/qwen_3_4b.safetensors`
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- LoRAs: none recorded yet
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- ControlNets / guidance nodes: `ZImageFunControlnet`
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- Masks / inpaint settings: inpainting-focused graph retained; exact mask settings not recorded yet
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- Node-level graph changes: held the community inpainting graph shape with `LanPaint_KSampler` and `ZImageFunControlnet`; the live loader resolves to `zImageTurbo_turbo.safetensors` even though the embedded source metadata still labels the split-file `z_image_turbo_bf16.safetensors`
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- Why this change was made: keep a plausible real edit path on a `3070` without prematurely bloating the graph
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## Required models
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- `models/text_encoders/qwen_3_4b.safetensors`
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- `models/diffusion_models/zImageTurbo_turbo.safetensors`
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- `models/vae/ae.safetensors`
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## Required custom nodes
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- `rgthree-comfy`
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- the package that provides `LanPaint_KSampler`
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- the package that provides `ZImageFunControlnet`
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## Monday test checklist
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- Confirm missing custom nodes first.
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- Check whether masked edits are stable enough to keep.
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- Compare it directly against the `flux2klein` edit master on the same input.
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## Next optimization candidates
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- reduce custom-node dependency count if the graph is good but fragile
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- borrow only the useful control ideas from the community control-union workflow
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