comfyui-workflows/optimized/image-edit/zimage-turbo-3070-inpaint-start/README.md

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