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Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
Prompt for generated image. If you include the `trigger_word` used in the training process you are more likely to activate the trained object, style, or concept in the resulting image.
|
|
| flux_layers_to_patch |
string
|
double_blocks.0.img_mod.lin.weight=1.0
double_blocks.0.img_mod.lin.bias=1.0
double_blocks.0.img_attn.qkv.weight=1.0
double_blocks.0.img_attn.qkv.bias=1.0
double_blocks.0.img_attn.proj.weight=1.0
double_blocks.0.img_attn.proj.bias=1.0
double_blocks.0.img_mlp.0.weight=1.0
double_blocks.0.img_mlp.0.bias=1.0
double_blocks.0.img_mlp.2.weight=1.0
double_blocks.0.img_mlp.2.bias=1.0
double_blocks.0.txt_mod.lin.weight=1.0
double_blocks.0.txt_mod.lin.bias=1.0
double_blocks.0.txt_attn.qkv.weight=1.0
double_blocks.0.txt_attn.qkv.bias=1.0
double_blocks.0.txt_attn.proj.weight=1.0
double_blocks.0.txt_attn.proj.bias=1.0
double_blocks.0.txt_mlp.0.weight=1.0
double_blocks.0.txt_mlp.0.bias=1.0
double_blocks.0.txt_mlp.2.weight=1.0
double_blocks.0.txt_mlp.2.bias=1.0
double_blocks.1.img_mod.lin.weight=1.0
double_blocks.1.img_mod.lin.bias=1.0
double_blocks.1.img_attn.qkv.weight=1.0
double_blocks.1.img_attn.qkv.bias=1.0
double_blocks.1.img_attn.proj.weight=1.0
double_blocks.1.img_attn.proj.bias=1.0
double_blocks.1.img_mlp.0.weight=1.0
double_blocks.1.img_mlp.0.bias=1.0
double_blocks.1.img_mlp.2.weight=1.0
double_blocks.1.img_mlp.2.bias=1.0
double_blocks.1.txt_mod.lin.weight=1.0
double_blocks.1.txt_mod.lin.bias=1.0
double_blocks.1.txt_attn.qkv.weight=1.0
double_blocks.1.txt_attn.qkv.bias=1.0
double_blocks.1.txt_attn.proj.weight=1.0
double_blocks.1.txt_attn.proj.bias=1.0
double_blocks.1.txt_mlp.0.weight=1.0
double_blocks.1.txt_mlp.0.bias=1.0
double_blocks.1.txt_mlp.2.weight=1.0
double_blocks.1.txt_mlp.2.bias=1.0
double_blocks.2.img_mod.lin.weight=1.0
double_blocks.2.img_mod.lin.bias=1.0
double_blocks.2.img_attn.qkv.weight=1.0
double_blocks.2.img_attn.qkv.bias=1.0
double_blocks.2.img_attn.proj.weight=1.0
double_blocks.2.img_attn.proj.bias=1.0
double_blocks.2.img_mlp.0.weight=1.0
double_blocks.2.img_mlp.0.bias=1.0
double_blocks.2.img_mlp.2.weight=1.0
double_blocks.2.img_mlp.2.bias=1.0
double_blocks.2.txt_mod.lin.weight=1.0
double_blocks.2.txt_mod.lin.bias=1.0
double_blocks.2.txt_attn.qkv.weight=1.0
double_blocks.2.txt_attn.qkv.bias=1.0
double_blocks.2.txt_attn.proj.weight=1.0
double_blocks.2.txt_attn.proj.bias=1.0
double_blocks.2.txt_mlp.0.weight=1.0
double_blocks.2.txt_mlp.0.bias=1.0
double_blocks.2.txt_mlp.2.weight=1.0
double_blocks.2.txt_mlp.2.bias=1.0
double_blocks.3.img_mod.lin.weight=1.0
double_blocks.3.img_mod.lin.bias=1.0
double_blocks.3.img_attn.qkv.weight=1.0
double_blocks.3.img_attn.qkv.bias=1.0
double_blocks.3.img_attn.proj.weight=1.0
double_blocks.3.img_attn.proj.bias=1.0
double_blocks.3.img_mlp.0.weight=1.0
double_blocks.3.img_mlp.0.bias=1.0
double_blocks.3.img_mlp.2.weight=1.0
double_blocks.3.img_mlp.2.bias=1.0
double_blocks.3.txt_mod.lin.weight=1.0
double_blocks.3.txt_mod.lin.bias=1.0
double_blocks.3.txt_attn.qkv.weight=1.0
double_blocks.3.txt_attn.qkv.bias=1.0
double_blocks.3.txt_attn.proj.weight=1.0
double_blocks.3.txt_attn.proj.bias=1.0
double_blocks.3.txt_mlp.0.weight=1.0
double_blocks.3.txt_mlp.0.bias=1.0
double_blocks.3.txt_mlp.2.weight=1.0
double_blocks.3.txt_mlp.2.bias=1.0
double_blocks.4.img_mod.lin.weight=1.0
double_blocks.4.img_mod.lin.bias=1.0
double_blocks.4.img_attn.qkv.weight=1.0
double_blocks.4.img_attn.qkv.bias=1.0
double_blocks.4.img_attn.proj.weight=1.0
double_blocks.4.img_attn.proj.bias=1.0
double_blocks.4.img_mlp.0.weight=1.0
double_blocks.4.img_mlp.0.bias=1.0
double_blocks.4.img_mlp.2.weight=1.0
double_blocks.4.img_mlp.2.bias=1.0
double_blocks.4.txt_mod.lin.weight=1.0
double_blocks.4.txt_mod.lin.bias=1.0
double_blocks.4.txt_attn.qkv.weight=1.0
double_blocks.4.txt_attn.qkv.bias=1.0
double_blocks.4.txt_attn.proj.weight=1.0
double_blocks.4.txt_attn.proj.bias=1.0
double_blocks.4.txt_mlp.0.weight=1.0
double_blocks.4.txt_mlp.0.bias=1.0
double_blocks.4.txt_mlp.2.weight=1.0
double_blocks.4.txt_mlp.2.bias=1.0
double_blocks.5.img_mod.lin.weight=1.0
double_blocks.5.img_mod.lin.bias=1.0
double_blocks.5.img_attn.qkv.weight=1.0
double_blocks.5.img_attn.qkv.bias=1.0
double_blocks.5.img_attn.proj.weight=1.0
double_blocks.5.img_attn.proj.bias=1.0
double_blocks.5.img_mlp.0.weight=1.0
double_blocks.5.img_mlp.0.bias=1.0
double_blocks.5.img_mlp.2.weight=1.0
double_blocks.5.img_mlp.2.bias=1.0
double_blocks.5.txt_mod.lin.weight=1.0
double_blocks.5.txt_mod.lin.bias=1.0
double_blocks.5.txt_attn.qkv.weight=1.0
double_blocks.5.txt_attn.qkv.bias=1.0
double_blocks.5.txt_attn.proj.weight=1.0
double_blocks.5.txt_attn.proj.bias=1.0
double_blocks.5.txt_mlp.0.weight=1.0
double_blocks.5.txt_mlp.0.bias=1.0
double_blocks.5.txt_mlp.2.weight=1.0
double_blocks.5.txt_mlp.2.bias=1.0
double_blocks.6.img_mod.lin.weight=1.0
double_blocks.6.img_mod.lin.bias=1.0
double_blocks.6.img_attn.qkv.weight=1.0
double_blocks.6.img_attn.qkv.bias=1.0
double_blocks.6.img_attn.proj.weight=1.0
double_blocks.6.img_attn.proj.bias=1.0
double_blocks.6.img_mlp.0.weight=1.0
double_blocks.6.img_mlp.0.bias=1.0
double_blocks.6.img_mlp.2.weight=1.0
double_blocks.6.img_mlp.2.bias=1.0
double_blocks.6.txt_mod.lin.weight=1.0
double_blocks.6.txt_mod.lin.bias=1.0
double_blocks.6.txt_attn.qkv.weight=1.0
double_blocks.6.txt_attn.qkv.bias=1.0
double_blocks.6.txt_attn.proj.weight=1.0
double_blocks.6.txt_attn.proj.bias=1.0
double_blocks.6.txt_mlp.0.weight=1.0
double_blocks.6.txt_mlp.0.bias=1.0
double_blocks.6.txt_mlp.2.weight=1.0
double_blocks.6.txt_mlp.2.bias=1.0
double_blocks.7.img_mod.lin.weight=1.0
double_blocks.7.img_mod.lin.bias=1.0
double_blocks.7.img_attn.qkv.weight=1.0
double_blocks.7.img_attn.qkv.bias=1.0
double_blocks.7.img_attn.proj.weight=1.0
double_blocks.7.img_attn.proj.bias=1.0
double_blocks.7.img_mlp.0.weight=1.0
double_blocks.7.img_mlp.0.bias=1.0
double_blocks.7.img_mlp.2.weight=1.0
double_blocks.7.img_mlp.2.bias=1.0
double_blocks.7.txt_mod.lin.weight=1.0
double_blocks.7.txt_mod.lin.bias=1.0
double_blocks.7.txt_attn.qkv.weight=1.0
double_blocks.7.txt_attn.qkv.bias=1.0
double_blocks.7.txt_attn.proj.weight=1.0
double_blocks.7.txt_attn.proj.bias=1.0
double_blocks.7.txt_mlp.0.weight=1.0
double_blocks.7.txt_mlp.0.bias=1.0
double_blocks.7.txt_mlp.2.weight=1.0
double_blocks.7.txt_mlp.2.bias=1.0
double_blocks.8.img_mod.lin.weight=1.0
double_blocks.8.img_mod.lin.bias=1.0
double_blocks.8.img_attn.qkv.weight=1.0
double_blocks.8.img_attn.qkv.bias=1.0
double_blocks.8.img_attn.proj.weight=1.0
double_blocks.8.img_attn.proj.bias=1.0
double_blocks.8.img_mlp.0.weight=1.0
double_blocks.8.img_mlp.0.bias=1.0
double_blocks.8.img_mlp.2.weight=1.0
double_blocks.8.img_mlp.2.bias=1.0
double_blocks.8.txt_mod.lin.weight=1.0
double_blocks.8.txt_mod.lin.bias=1.0
double_blocks.8.txt_attn.qkv.weight=1.0
double_blocks.8.txt_attn.qkv.bias=1.0
double_blocks.8.txt_attn.proj.weight=1.0
double_blocks.8.txt_attn.proj.bias=1.0
double_blocks.8.txt_mlp.0.weight=1.0
double_blocks.8.txt_mlp.0.bias=1.0
double_blocks.8.txt_mlp.2.weight=1.0
double_blocks.8.txt_mlp.2.bias=1.0
double_blocks.9.img_mod.lin.weight=1.0
double_blocks.9.img_mod.lin.bias=1.0
double_blocks.9.img_attn.qkv.weight=1.0
double_blocks.9.img_attn.qkv.bias=1.0
double_blocks.9.img_attn.proj.weight=1.0
double_blocks.9.img_attn.proj.bias=1.0
double_blocks.9.img_mlp.0.weight=1.0
double_blocks.9.img_mlp.0.bias=1.0
double_blocks.9.img_mlp.2.weight=1.0
double_blocks.9.img_mlp.2.bias=1.0
double_blocks.9.txt_mod.lin.weight=1.0
double_blocks.9.txt_mod.lin.bias=1.0
double_blocks.9.txt_attn.qkv.weight=1.0
double_blocks.9.txt_attn.qkv.bias=1.0
double_blocks.9.txt_attn.proj.weight=1.0
double_blocks.9.txt_attn.proj.bias=1.0
double_blocks.9.txt_mlp.0.weight=1.0
double_blocks.9.txt_mlp.0.bias=1.0
double_blocks.9.txt_mlp.2.weight=1.0
double_blocks.9.txt_mlp.2.bias=1.0
double_blocks.10.img_mod.lin.weight=1.0
double_blocks.10.img_mod.lin.bias=1.0
double_blocks.10.img_attn.qkv.weight=1.0
double_blocks.10.img_attn.qkv.bias=1.0
double_blocks.10.img_attn.proj.weight=1.0
double_blocks.10.img_attn.proj.bias=1.0
double_blocks.10.img_mlp.0.weight=1.0
double_blocks.10.img_mlp.0.bias=1.0
double_blocks.10.img_mlp.2.weight=1.0
double_blocks.10.img_mlp.2.bias=1.0
double_blocks.10.txt_mod.lin.weight=1.0
double_blocks.10.txt_mod.lin.bias=1.0
double_blocks.10.txt_attn.qkv.weight=1.0
double_blocks.10.txt_attn.qkv.bias=1.0
double_blocks.10.txt_attn.proj.weight=1.0
double_blocks.10.txt_attn.proj.bias=1.0
double_blocks.10.txt_mlp.0.weight=1.0
double_blocks.10.txt_mlp.0.bias=1.0
double_blocks.10.txt_mlp.2.weight=1.0
double_blocks.10.txt_mlp.2.bias=1.0
double_blocks.11.img_mod.lin.weight=1.0
double_blocks.11.img_mod.lin.bias=1.0
double_blocks.11.img_attn.qkv.weight=1.0
double_blocks.11.img_attn.qkv.bias=1.0
double_blocks.11.img_attn.proj.weight=1.0
double_blocks.11.img_attn.proj.bias=1.0
double_blocks.11.img_mlp.0.weight=1.0
double_blocks.11.img_mlp.0.bias=1.0
double_blocks.11.img_mlp.2.weight=1.0
double_blocks.11.img_mlp.2.bias=1.0
double_blocks.11.txt_mod.lin.weight=1.0
double_blocks.11.txt_mod.lin.bias=1.0
double_blocks.11.txt_attn.qkv.weight=1.0
double_blocks.11.txt_attn.qkv.bias=1.0
double_blocks.11.txt_attn.proj.weight=1.0
double_blocks.11.txt_attn.proj.bias=1.0
double_blocks.11.txt_mlp.0.weight=1.0
double_blocks.11.txt_mlp.0.bias=1.0
double_blocks.11.txt_mlp.2.weight=1.0
double_blocks.11.txt_mlp.2.bias=1.0
double_blocks.12.img_mod.lin.weight=1.0
double_blocks.12.img_mod.lin.bias=1.0
double_blocks.12.img_attn.qkv.weight=1.0
double_blocks.12.img_attn.qkv.bias=1.0
double_blocks.12.img_attn.proj.weight=1.0
double_blocks.12.img_attn.proj.bias=1.0
double_blocks.12.img_mlp.0.weight=1.0
double_blocks.12.img_mlp.0.bias=1.0
double_blocks.12.img_mlp.2.weight=1.0
double_blocks.12.img_mlp.2.bias=1.0
double_blocks.12.txt_mod.lin.weight=1.0
double_blocks.12.txt_mod.lin.bias=1.0
double_blocks.12.txt_attn.qkv.weight=1.0
double_blocks.12.txt_attn.qkv.bias=1.0
double_blocks.12.txt_attn.proj.weight=1.0
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double_blocks.12.txt_mlp.0.weight=1.0
double_blocks.12.txt_mlp.0.bias=1.0
double_blocks.12.txt_mlp.2.weight=1.0
double_blocks.12.txt_mlp.2.bias=1.0
double_blocks.13.img_mod.lin.weight=1.0
double_blocks.13.img_mod.lin.bias=1.0
double_blocks.13.img_attn.qkv.weight=1.0
double_blocks.13.img_attn.qkv.bias=1.0
double_blocks.13.img_attn.proj.weight=1.0
double_blocks.13.img_attn.proj.bias=1.0
double_blocks.13.img_mlp.0.weight=1.0
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double_blocks.13.img_mlp.2.weight=1.0
double_blocks.13.img_mlp.2.bias=1.0
double_blocks.13.txt_mod.lin.weight=1.0
double_blocks.13.txt_mod.lin.bias=1.0
double_blocks.13.txt_attn.qkv.weight=1.0
double_blocks.13.txt_attn.qkv.bias=1.0
double_blocks.13.txt_attn.proj.weight=1.0
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double_blocks.13.txt_mlp.0.weight=1.0
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double_blocks.13.txt_mlp.2.weight=1.0
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double_blocks.14.img_mod.lin.weight=1.0
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double_blocks.14.img_attn.qkv.weight=1.0
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double_blocks.14.img_attn.proj.weight=1.0
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double_blocks.14.img_mlp.0.weight=1.0
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double_blocks.15.img_mod.lin.weight=1.0
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double_blocks.15.img_attn.qkv.weight=1.0
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double_blocks.15.img_attn.proj.weight=1.0
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double_blocks.15.txt_mod.lin.weight=1.0
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double_blocks.15.txt_mlp.0.weight=1.0
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double_blocks.16.img_mod.lin.weight=1.0
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double_blocks.16.img_attn.qkv.weight=1.0
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double_blocks.18.txt_attn.qkv.weight=1.0
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double_blocks.18.txt_mlp.0.weight=1.0
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double_blocks.18.txt_mlp.2.weight=1.0
double_blocks.18.txt_mlp.2.bias=1.0
single_blocks.0.linear1.weight=1.0
single_blocks.0.linear1.bias=1.0
single_blocks.0.linear2.weight=1.0
single_blocks.0.linear2.bias=1.0
single_blocks.0.modulation.lin.weight=1.0
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single_blocks.1.linear1.weight=1.0
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single_blocks.1.linear2.weight=1.0
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single_blocks.1.modulation.lin.weight=1.0
single_blocks.1.modulation.lin.bias=1.0
single_blocks.2.linear1.weight=1.0
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single_blocks.2.linear2.weight=1.0
single_blocks.2.linear2.bias=1.0
single_blocks.2.modulation.lin.weight=1.0
single_blocks.2.modulation.lin.bias=1.0
single_blocks.3.linear1.weight=1.0
single_blocks.3.linear1.bias=1.0
single_blocks.3.linear2.weight=1.0
single_blocks.3.linear2.bias=1.0
single_blocks.3.modulation.lin.weight=1.0
single_blocks.3.modulation.lin.bias=1.0
single_blocks.4.linear1.weight=1.0
single_blocks.4.linear1.bias=1.0
single_blocks.4.linear2.weight=1.0
single_blocks.4.linear2.bias=1.0
single_blocks.4.modulation.lin.weight=1.0
single_blocks.4.modulation.lin.bias=1.0
single_blocks.5.linear1.weight=1.0
single_blocks.5.linear1.bias=1.0
single_blocks.5.linear2.weight=1.0
single_blocks.5.linear2.bias=1.0
single_blocks.5.modulation.lin.weight=1.0
single_blocks.5.modulation.lin.bias=1.0
single_blocks.6.linear1.weight=1.0
single_blocks.6.linear1.bias=1.0
single_blocks.6.linear2.weight=1.0
single_blocks.6.linear2.bias=1.0
single_blocks.6.modulation.lin.weight=1.0
single_blocks.6.modulation.lin.bias=1.0
single_blocks.7.linear1.weight=1.0
single_blocks.7.linear1.bias=1.0
single_blocks.7.linear2.weight=1.0
single_blocks.7.linear2.bias=1.0
single_blocks.7.modulation.lin.weight=1.0
single_blocks.7.modulation.lin.bias=1.0
single_blocks.8.linear1.weight=1.0
single_blocks.8.linear1.bias=1.0
single_blocks.8.linear2.weight=1.0
single_blocks.8.linear2.bias=1.0
single_blocks.8.modulation.lin.weight=1.0
single_blocks.8.modulation.lin.bias=1.0
single_blocks.9.linear1.weight=1.0
single_blocks.9.linear1.bias=1.0
single_blocks.9.linear2.weight=1.0
single_blocks.9.linear2.bias=1.0
single_blocks.9.modulation.lin.weight=1.0
single_blocks.9.modulation.lin.bias=1.0
single_blocks.10.linear1.weight=1.0
single_blocks.10.linear1.bias=1.0
single_blocks.10.linear2.weight=1.0
single_blocks.10.linear2.bias=1.0
single_blocks.10.modulation.lin.weight=1.0
single_blocks.10.modulation.lin.bias=1.0
single_blocks.11.linear1.weight=1.0
single_blocks.11.linear1.bias=1.0
single_blocks.11.linear2.weight=1.0
single_blocks.11.linear2.bias=1.0
single_blocks.11.modulation.lin.weight=1.0
single_blocks.11.modulation.lin.bias=1.0
single_blocks.12.linear1.weight=1.0
single_blocks.12.linear1.bias=1.0
single_blocks.12.linear2.weight=1.0
single_blocks.12.linear2.bias=1.0
single_blocks.12.modulation.lin.weight=1.0
single_blocks.12.modulation.lin.bias=1.0
single_blocks.13.linear1.weight=1.0
single_blocks.13.linear1.bias=1.0
single_blocks.13.linear2.weight=1.0
single_blocks.13.linear2.bias=1.0
single_blocks.13.modulation.lin.weight=1.0
single_blocks.13.modulation.lin.bias=1.0
single_blocks.14.linear1.weight=1.0
single_blocks.14.linear1.bias=1.0
single_blocks.14.linear2.weight=1.0
single_blocks.14.linear2.bias=1.0
single_blocks.14.modulation.lin.weight=1.0
single_blocks.14.modulation.lin.bias=1.0
single_blocks.15.linear1.weight=1.0
single_blocks.15.linear1.bias=1.0
single_blocks.15.linear2.weight=1.0
single_blocks.15.linear2.bias=1.0
single_blocks.15.modulation.lin.weight=1.0
single_blocks.15.modulation.lin.bias=1.0
single_blocks.16.linear1.weight=1.0
single_blocks.16.linear1.bias=1.0
single_blocks.16.linear2.weight=1.0
single_blocks.16.linear2.bias=1.0
single_blocks.16.modulation.lin.weight=1.0
single_blocks.16.modulation.lin.bias=1.0
single_blocks.17.linear1.weight=1.0
single_blocks.17.linear1.bias=1.0
single_blocks.17.linear2.weight=1.0
single_blocks.17.linear2.bias=1.0
single_blocks.17.modulation.lin.weight=1.0
single_blocks.17.modulation.lin.bias=1.0
single_blocks.18.linear1.weight=1.0
single_blocks.18.linear1.bias=1.0
single_blocks.18.linear2.weight=1.0
single_blocks.18.linear2.bias=1.0
single_blocks.18.modulation.lin.weight=1.0
single_blocks.18.modulation.lin.bias=1.0
single_blocks.19.linear1.weight=1.0
single_blocks.19.linear1.bias=1.0
single_blocks.19.linear2.weight=1.0
single_blocks.19.linear2.bias=1.0
single_blocks.19.modulation.lin.weight=1.0
single_blocks.19.modulation.lin.bias=1.0
single_blocks.20.linear1.weight=1.0
single_blocks.20.linear1.bias=1.0
single_blocks.20.linear2.weight=1.0
single_blocks.20.linear2.bias=1.0
single_blocks.20.modulation.lin.weight=1.0
single_blocks.20.modulation.lin.bias=1.0
single_blocks.21.linear1.weight=1.0
single_blocks.21.linear1.bias=1.0
single_blocks.21.linear2.weight=1.0
single_blocks.21.linear2.bias=1.0
single_blocks.21.modulation.lin.weight=1.0
single_blocks.21.modulation.lin.bias=1.0
single_blocks.22.linear1.weight=1.0
single_blocks.22.linear1.bias=1.0
single_blocks.22.linear2.weight=1.0
single_blocks.22.linear2.bias=1.0
single_blocks.22.modulation.lin.weight=1.0
single_blocks.22.modulation.lin.bias=1.0
single_blocks.23.linear1.weight=1.0
single_blocks.23.linear1.bias=1.0
single_blocks.23.linear2.weight=1.0
single_blocks.23.linear2.bias=1.0
single_blocks.23.modulation.lin.weight=1.0
single_blocks.23.modulation.lin.bias=1.0
single_blocks.24.linear1.weight=1.0
single_blocks.24.linear1.bias=1.0
single_blocks.24.linear2.weight=1.0
single_blocks.24.linear2.bias=1.0
single_blocks.24.modulation.lin.weight=1.0
single_blocks.24.modulation.lin.bias=1.0
single_blocks.25.linear1.weight=1.0
single_blocks.25.linear1.bias=1.0
single_blocks.25.linear2.weight=1.0
single_blocks.25.linear2.bias=1.0
single_blocks.25.modulation.lin.weight=1.0
single_blocks.25.modulation.lin.bias=1.0
single_blocks.26.linear1.weight=1.0
single_blocks.26.linear1.bias=1.0
single_blocks.26.linear2.weight=1.0
single_blocks.26.linear2.bias=1.0
single_blocks.26.modulation.lin.weight=1.0
single_blocks.26.modulation.lin.bias=1.0
single_blocks.27.linear1.weight=1.0
single_blocks.27.linear1.bias=1.0
single_blocks.27.linear2.weight=1.0
single_blocks.27.linear2.bias=1.0
single_blocks.27.modulation.lin.weight=1.0
single_blocks.27.modulation.lin.bias=1.0
single_blocks.28.linear1.weight=1.0
single_blocks.28.linear1.bias=1.0
single_blocks.28.linear2.weight=1.0
single_blocks.28.linear2.bias=1.0
single_blocks.28.modulation.lin.weight=1.0
single_blocks.28.modulation.lin.bias=1.0
single_blocks.29.linear1.weight=1.0
single_blocks.29.linear1.bias=1.0
single_blocks.29.linear2.weight=1.0
single_blocks.29.linear2.bias=1.0
single_blocks.29.modulation.lin.weight=1.0
single_blocks.29.modulation.lin.bias=1.0
single_blocks.30.linear1.weight=1.0
single_blocks.30.linear1.bias=1.0
single_blocks.30.linear2.weight=1.0
single_blocks.30.linear2.bias=1.0
single_blocks.30.modulation.lin.weight=1.0
single_blocks.30.modulation.lin.bias=1.0
single_blocks.31.linear1.weight=1.0
single_blocks.31.linear1.bias=1.0
single_blocks.31.linear2.weight=1.0
single_blocks.31.linear2.bias=1.0
single_blocks.31.modulation.lin.weight=1.0
single_blocks.31.modulation.lin.bias=1.0
single_blocks.32.linear1.weight=1.0
single_blocks.32.linear1.bias=1.0
single_blocks.32.linear2.weight=1.0
single_blocks.32.linear2.bias=1.0
single_blocks.32.modulation.lin.weight=1.0
single_blocks.32.modulation.lin.bias=1.0
single_blocks.33.linear1.weight=1.0
single_blocks.33.linear1.bias=1.0
single_blocks.33.linear2.weight=1.0
single_blocks.33.linear2.bias=1.0
single_blocks.33.modulation.lin.weight=1.0
single_blocks.33.modulation.lin.bias=1.0
single_blocks.34.linear1.weight=1.0
single_blocks.34.linear1.bias=1.0
single_blocks.34.linear2.weight=1.0
single_blocks.34.linear2.bias=1.0
single_blocks.34.modulation.lin.weight=1.0
single_blocks.34.modulation.lin.bias=1.0
single_blocks.35.linear1.weight=1.0
single_blocks.35.linear1.bias=1.0
single_blocks.35.linear2.weight=1.0
single_blocks.35.linear2.bias=1.0
single_blocks.35.modulation.lin.weight=1.0
single_blocks.35.modulation.lin.bias=1.0
single_blocks.36.linear1.weight=1.0
single_blocks.36.linear1.bias=1.0
single_blocks.36.linear2.weight=1.0
single_blocks.36.linear2.bias=1.0
single_blocks.36.modulation.lin.weight=1.0
single_blocks.36.modulation.lin.bias=1.0
single_blocks.37.linear1.weight=1.0
single_blocks.37.linear1.bias=1.0
single_blocks.37.linear2.weight=1.0
single_blocks.37.linear2.bias=1.0
single_blocks.37.modulation.lin.weight=1.0
single_blocks.37.modulation.lin.bias
|
None
|
| flux_model_layers_to_patch |
None
|
all
|
None
|
| flux_model_layers_value |
number
|
1.01
Max: 2 |
The new value for the selected layers
|
| weights_and_biases_to_patch |
None
|
weights and biases
|
None
|
| flux_model_layers_regular_expressions |
array
|
[]
|
A set of regular expressions and their target values. Each regular expression should be on a new line and the target value should be a float. For example: double_blocks\.([0-9]+)\.(img|txt)_(mod|attn|mlp)\.(lin|qkv|proj|0|2)\.(weight|bias)=1.01
|
| aspect_ratio |
None
|
1:1
|
Aspect ratio for the generated image in text-to-image mode. The size will always be 1 megapixel, i.e. 1024x1024 if aspect ratio is 1:1. To use arbitrary width and height, set aspect ratio to 'custom'. Note: Ignored in img2img and inpainting modes.
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| num_inference_steps |
integer
|
28
Min: 1 Max: 50 |
Number of inference steps. More steps can give more detailed images, but take longer.
|
| guidance_scale |
number
|
3
Max: 10 |
Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5
|
| max_shift |
number
|
1.15
Max: 10 |
Maximum shift
|
| base_shift |
number
|
0.5
Max: 10 |
Base shift
|
| output_format |
None
|
webp
|
Format of the output images
|
| output_quality |
integer
|
95
Max: 100 |
Quality of the output images, from 0 to 100. 100 is best quality, 0 is lowest quality.
|
| seed |
integer
|
Set a seed for reproducibility. Random by default.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}