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Find files, editable templates and browser test targets by what you need to make or test. The directory below is cut by format; the two collections under it cut the same library by subject and by workflow.

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Conditioning Map: Cat Normal Map (512px)

Tangent-space surface-normal map encoded from the scene depth: a normal-conditioning input for guided generation and relighting tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningNormal map testing+1· Conversion set

Conditioning Map: Cat Pose Skeleton (512px)

OpenPose-style keypoint skeleton for the figure: a pose-control input for guided generation and a target for pose-estimation checks.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningPose estimation testing+1· Conversion set

Conditioning Map: Cat Scribble (512px)

Sparse scribble derived from the edges: the loose hand-drawn control input for scribble-guided image generation.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningScribble conditioning+1· Conversion set

Conditioning Map: Cat Segmentation Map (512px)

Semantic segmentation map (subject vs background): the label reference for segmentation-conditioned generation and mask-quality scoring.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningSemantic segmentation testing+1· Conversion set

Conditioning Map: Fruit Canny Edges (512px)

Binary Canny edge map extracted from the ground truth. Feed as a structure-control input and score the generated result against the reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningEdge detection testing+1· Conversion set

Conditioning Map: Fruit Depth Map (512px)

Synthetic depth map (near = bright) for depth-conditioned generation and monocular depth-estimation regression against a known reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningDepth estimation testing+1· Conversion set

Conditioning Map: Fruit Line Art (512px)

Clean line-art extraction (black lines on white) for line-art-conditioned generation and line-extraction quality tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningLine-art extraction testing+1· Conversion set

Conditioning Map: Fruit Normal Map (512px)

Tangent-space surface-normal map encoded from the scene depth: a normal-conditioning input for guided generation and relighting tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningNormal map testing+1· Conversion set

Conditioning Map: Fruit Scribble (512px)

Sparse scribble derived from the edges: the loose hand-drawn control input for scribble-guided image generation.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningScribble conditioning+1· Conversion set

Conditioning Map: Fruit Segmentation Map (512px)

Semantic segmentation map (subject vs background): the label reference for segmentation-conditioned generation and mask-quality scoring.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningSemantic segmentation testing+1· Conversion set

Conditioning Map: Mug Canny Edges (512px)

Binary Canny edge map extracted from the ground truth. Feed as a structure-control input and score the generated result against the reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningEdge detection testing+1· Conversion set

Conditioning Map: Mug Depth Map (512px)

Synthetic depth map (near = bright) for depth-conditioned generation and monocular depth-estimation regression against a known reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningDepth estimation testing+1· Conversion set

Conditioning Map: Mug Line Art (512px)

Clean line-art extraction (black lines on white) for line-art-conditioned generation and line-extraction quality tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningLine-art extraction testing+1· Conversion set

Conditioning Map: Mug Normal Map (512px)

Tangent-space surface-normal map encoded from the scene depth: a normal-conditioning input for guided generation and relighting tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningNormal map testing+1· Conversion set

Conditioning Map: Mug Scribble (512px)

Sparse scribble derived from the edges: the loose hand-drawn control input for scribble-guided image generation.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningScribble conditioning+1· Conversion set

Conditioning Map: Mug Segmentation Map (512px)

Semantic segmentation map (subject vs background): the label reference for segmentation-conditioned generation and mask-quality scoring.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningSemantic segmentation testing+1· Conversion set

Conditioning Map: Plant Canny Edges (512px)

Binary Canny edge map extracted from the ground truth. Feed as a structure-control input and score the generated result against the reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningEdge detection testing+1· Conversion set

Conditioning Map: Plant Depth Map (512px)

Synthetic depth map (near = bright) for depth-conditioned generation and monocular depth-estimation regression against a known reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningDepth estimation testing+1· Conversion set

Conditioning Map: Plant Line Art (512px)

Clean line-art extraction (black lines on white) for line-art-conditioned generation and line-extraction quality tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningLine-art extraction testing+1· Conversion set

Conditioning Map: Plant Normal Map (512px)

Tangent-space surface-normal map encoded from the scene depth: a normal-conditioning input for guided generation and relighting tests.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningNormal map testing+1· Conversion set

Conditioning Map: Plant Scribble (512px)

Sparse scribble derived from the edges: the loose hand-drawn control input for scribble-guided image generation.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningScribble conditioning+1· Conversion set

Conditioning Map: Plant Segmentation Map (512px)

Semantic segmentation map (subject vs background): the label reference for segmentation-conditioned generation and mask-quality scoring.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningSemantic segmentation testing+1· Conversion set

Conditioning Map: Robot Canny Edges (512px)

Binary Canny edge map extracted from the ground truth. Feed as a structure-control input and score the generated result against the reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningEdge detection testing+1· Conversion set

Conditioning Map: Robot Depth Map (512px)

Synthetic depth map (near = bright) for depth-conditioned generation and monocular depth-estimation regression against a known reference.

File: PNG · Conditioning Maps · 512 × 512 px
Use case: ControlNet conditioningDepth estimation testing+1· Conversion set