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feat: build Qwen Image Editor app (Edit/Compose tabs, Fast/Quality, ZeroGPU + local CUDA) with tests
d713f9b | """Tooltip strings for every labeled UI component. | |
| Kept separate from ``ui.py`` so copy edits don't touch component wiring. Every | |
| key here MUST be referenced from a labeled component in ``ui.py`` (and vice versa). | |
| """ | |
| from __future__ import annotations | |
| TOOLTIPS: dict[str, str] = { | |
| "prompt": "Natural-language instruction for how to edit the image. Be specific about what should change and what should stay.", | |
| "image": "The image to edit. Accepts PNG, JPG, or WebP. Large images are auto-resized to fit 1 MP.", | |
| "target_image": "The base image you want to modify. In Compose mode this is the primary subject being altered.", | |
| "ref_image": "Reference image supplying material, style, or subject for the composition. Up to 2 references supported.", | |
| "speed": "Fast uses the Lightning LoRA (4 steps, cfg=1). Quality disables LoRA for 40 steps, higher fidelity.", | |
| "steps": "Denoising steps. Fast: 4 (Lightning LoRA). Quality: 40. More steps increase detail and run time.", | |
| "true_cfg": "Classifier-free guidance scale. Fast: 1.0. Quality: 4.0. Higher values follow the prompt more strictly.", | |
| "negative_prompt": "Concepts to steer away from. Leave blank to use the model default. More effective in Quality mode.", | |
| "seed": "-1 picks a random seed each run. Set a fixed integer to reproduce an image exactly.", | |
| } | |