Conclusions
In z-image-turbo, no change in attribute strength was confirmed from weight syntax like (element:1.4) across all 5 categories.
For expression, composition, lighting, style, and subject attributes, no visual difference was observed between the unweighted (1.0 equivalent) and (element:1.4) conditions.
However, even with a fixed seed, adding parentheses, a colon, and a number changes the token sequence, which does cause the overall image to change. This is not an effect of the weight value — it’s a side effect of the changed token sequence.
Experiment Conditions
| Item | Value |
|---|---|
| Model | z-image-turbo |
| Steps | 8 |
| Sampler | euler |
| Scheduler | ddim_uniform |
| CFG | 1.0 |
| Image Size | 1024×1024 |
| Seeds | 42, 7295072554507705269, 4517457392071889496 |
For each category, 2 conditions (unweighted vs. (element:1.4)) were compared across 3 seeds (30 images total).
Category A: Expression (smiling)
Conditions
| Condition | Prompt |
|---|---|
| Unweighted | 1girl, 32yo japanese actress, smiling, standing in park, casual outfit, natural lighting, upper body |
| Weight 1.4 | 1girl, 32yo japanese actress, (smiling:1.4), standing in park, casual outfit, natural lighting, upper body |
Results
| Seed | smiling | (smiling:1.4) |
|---|---|---|
| 42 | ![]() | ![]() |
| 7295… | ![]() | ![]() |
| 4517… | ![]() | ![]() |
Observation
Smiling in both conditions across all 3 seeds. No difference in degree of smile. Even with fixed seeds, clothing and composition changed.
Note: Even with a fixed seed, adding parentheses and a colon changes the outfit. This stems from the changed token sequence, not the weight effect itself — easy to mistake for the weighting having “worked.”
Category B: Composition (from below)
Conditions
| Condition | Prompt |
|---|---|
| Unweighted | 1girl, 32yo japanese actress, standing in park, from below, casual outfit, natural lighting, full body |
| Weight 1.4 | 1girl, 32yo japanese actress, standing in park, (from below:1.4), casual outfit, natural lighting, full body |
Results
| Seed | from below | (from below:1.4) |
|---|---|---|
| 42 | ![]() | ![]() |
| 7295… | ![]() | ![]() |
| 4517… | ![]() | ![]() |
Observation
Low-angle (looking-up) composition in both conditions across all 3 seeds. No difference in angle intensity.
Category C: Lighting (strong backlighting)
Conditions
| Condition | Prompt |
|---|---|
| Unweighted | 1girl, 32yo japanese actress, standing at beach, casual outfit, strong backlighting, upper body |
| Weight 1.4 | 1girl, 32yo japanese actress, standing at beach, casual outfit, (strong backlighting:1.4), upper body |
Results
| Seed | strong backlighting | (strong backlighting:1.4) |
|---|---|---|
| 42 | ![]() | ![]() |
| 7295… | ![]() | ![]() |
| 4517… | ![]() | ![]() |
Observation
Both conditions have a backlit atmosphere across all 3 seeds. No difference in backlight intensity. Composition and clothing changed even with fixed seeds.
Category D: Style (film grain)
Conditions
| Condition | Prompt |
|---|---|
| Unweighted | 1girl, 32yo japanese actress, standing at izakaya entrance, casual outfit, natural lighting, film grain, upper body |
| Weight 1.4 | 1girl, 32yo japanese actress, standing at izakaya entrance, casual outfit, natural lighting, (film grain:1.4), upper body |
Results
| Seed | film grain | (film grain:1.4) |
|---|---|---|
| 42 | ![]() | ![]() |
| 7295… | ![]() | ![]() |
| 4517… | ![]() | ![]() |
Observation
Both conditions show a film-like tone. No difference in grain intensity.
Category E: Subject Attributes (freckles)
Conditions
| Condition | Prompt |
|---|---|
| Unweighted | 1girl, 32yo japanese actress, freckles, standing in park, casual outfit, natural lighting, upper body, close-up portrait |
| Weight 1.4 | 1girl, 32yo japanese actress, (freckles:1.4), standing in park, casual outfit, natural lighting, upper body, close-up portrait |
Results
| Seed | freckles | (freckles:1.4) |
|---|---|---|
| 42 | ![]() | ![]() |
| 7295… | ![]() | ![]() |
| 4517… | ![]() | ![]() |
Observation
No difference in freckle frequency or density.
Summary
| Category | Parameter | Difference 1.0 vs 1.4 |
|---|---|---|
| Expression | smiling | No difference (3/3 seeds) |
| Composition | from below | No difference (3/3 seeds) |
| Lighting | strong backlighting | No difference (3/3 seeds) |
| Style | film grain | No difference (3/3 seeds) |
| Subject Attributes | freckles | No difference (3/3 seeds) |
z-image-turbo is a distilled model operating at CFG=1.0, and weight syntax (element:weight) does not function for controlling attribute strength. Rather than spending time fine-tuning weight values, it is more effective to optimize prompts through element selection and word order.
Note: No difference was confirmed across all 5 categories — a definitive result. Element selection and word order, rather than weight syntax, form the basic prompt strategy for z-image-turbo.
Related Articles
⚠ 関連記事が見つかりません: /en/tips/prompt-basics
⚠ 関連記事が見つかりません: /en/tips/prompt-best-practices
⚠ 関連記事が見つかりません: /en/tips/breast-size-weight-syntax-test
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