44 lines
2.6 KiB
Markdown
44 lines
2.6 KiB
Markdown
## TT Latent Factory (By Model) *TT_LatentFactoryByModelNode*
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*This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.*
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Creates an empty latent tensor with dimensions and channel count automatically derived from the connected model. Supports any model architecture
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without manual configuration.
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### Inputs
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| Parameter | Type | Required | Description |
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|-------------------|-------|----------|---------------------------------------------------------------|
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| `model` | MODEL | Yes | Diffusion model — latent format is read from it automatically |
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| `seed` | INT | Yes | Generation seed |
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| `noise_seed` | INT | Yes | Noise seed, randomized after each generation |
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| `aspect_ratio` | COMBO | Yes | Aspect ratio of the output image |
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| `megapixels` | COMBO | Yes | Target resolution in megapixels |
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| `orientation` | COMBO | Yes | Landscape or portrait |
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| `batch_size` | INT | No | Number of latents per batch, default 1 (advanced) |
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| `clip_multiplier` | COMBO | No | Multiplier for CLIP target dimensions, default 1x (advanced) |
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### Outputs
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| Parameter | Type | Description |
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|-----------------|--------|-----------------------------------------------|
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| `MODEL` | MODEL | Passthrough model for chaining nodes |
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| `LATENT` | LATENT | Empty latent tensor |
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| `RND_NOISE` | NOISE | Noise generator configured with noise seed |
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| `SEED` | INT | Generation seed |
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| `NOISE_SEED` | INT | Noise seed |
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| `MEGAPIXELS` | STRING | Selected megapixel value |
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| `WIDTH` | INT | Calculated image width in pixels |
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| `HEIGHT` | INT | Calculated image height in pixels |
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| `TARGET_WIDTH` | INT | CLIP target width (width × clip_multiplier) |
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| `TARGET_HEIGHT` | INT | CLIP target height (height × clip_multiplier) |
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### Usage
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Connect any diffusion model — the node reads latent channel count and spatial downscale ratio directly from it. Use `MODEL` passthrough output to
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continue the node chain without an extra connection.
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---
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[View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)
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