Outfit-Cut is an adapter for black-forest-lab's FLUX.1-Kontext-dev, designed to extract outfits from images based on precisely specified subjects. The model was trained on 200 image pairs (100 start images and 100 end images). The adapter can be triggered with the following prompt:
[!note]
[photo content], extract only the specified clothing item [full outfit, top wear, bottom wear, t-shirt, jacket, dress, etc.] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
Sample Inference
Prompt: [photo content], extract only the specified clothing item [t-shirt] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
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Prompt: [photo content], extract only the specified clothing item [top wear] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
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Prompt: [photo content], extract only the specified clothing item [t-shirt] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
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Prompt: [photo content], extract only the specified clothing item [t-shirt] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
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Prompt: [photo content], extract only the specified clothing item [t-shirt] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
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Prompt: [photo content], extract only the specified clothing item [t-shirt] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
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Untitled
[!note]
Note: This adapter works well for extracting top wear (t-shirts, shirts, jackets, hoodies). The model may perform sub-optimally in more challenging cases, such as full clothing extraction, poorly lit images, and other difficult scenarios.
Parameter Settings
Setting
Value
Module Type
Adapter
Base Model
FLUX.1 Kontext Dev - fp8
Trigger Words
[photo content], extract only the specified clothing item [top wear, bottom wear] from the image and place it over a clean, plain background. Present the result in a product photography style — well-lit, crisp, and professional — while preserving the garment’s original textures, colors, shapes, and fine details.
Image Processing Repeats
50
Epochs
25
Save Every N Epochs
1
Labeling: DeepCaption-VLA-7B(natural language & English)
Total Images Used for Training : 200 Image Pairs (100 Start, 100 End)
Training Parameters
Setting
Value
Seed
-
Clip Skip
-
Text Encoder LR
0.00001
UNet LR
0.00005
LR Scheduler
constant
Optimizer
AdamW8bit
Network Dimension
64
Network Alpha
32
Gradient Accumulation Steps
-
Label Parameters
Setting
Value
Shuffle Caption
-
Keep N Tokens
-
Advanced Parameters
Setting
Value
Noise Offset
0.03
Multires Noise Discount
0.1
Multires Noise Iterations
10
Conv Dimension
-
Conv Alpha
-
Batch Size
-
Steps
2700
Sampler
euler
Trigger words
You should use [photo content] to trigger the image generation.
You should use extract only the specified clothing item [full outfit to trigger the image generation.
You should use top wear to trigger the image generation.
You should use bottom wear to trigger the image generation.
You should use t-shirt to trigger the image generation.
You should use jacket to trigger the image generation.
You should use dress to trigger the image generation.
You should use etc.] from the image and place it over a clean to trigger the image generation.
You should use plain background. Present the result in a product photography style — well-lit to trigger the image generation.
You should use crisp to trigger the image generation.
You should use and professional — while preserving the garment’s original textures to trigger the image generation.
You should use colors to trigger the image generation.
You should use shapes to trigger the image generation.
You should use and fine details. to trigger the image generation.
