## TT Latent Factory *TT_LatentFactoryNode* *This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.* Creates a latent tensor and noise for use in sampling pipelines with support for FLUX and SDXL architectures. ### Inputs | Parameter | Type | Required | Description | |-------------------|-------|----------|-----------------------------------------------------------------| | `seed` | INT | Yes | Seed for latent tensor generation | | `noise_seed` | INT | Yes | Seed for noise generation (increments after each run) | | `aspect_ratio` | COMBO | Yes | Aspect ratio of the latent (1:1, 4:3, 3:2, 16:9, 21:9) | | `megapixels` | COMBO | Yes | Target resolution in megapixels | | `orientation` | COMBO | Yes | Landscape or portrait orientation | | `model_type` | COMBO | Yes | Target model architecture (FLUX1.D, FLUX2.D, SDXL) | | `batch_size` | INT | No | Number of latents in batch (1–64, default: 1) | | `clip_multiplier` | COMBO | No | Multiplier for target CLIP resolution (1x, 2x, 4x, default: 1x) | ### Outputs | Parameter | Type | Description | |-----------------|--------|-----------------------------------------------| | `LATENT` | LATENT | Generated latent tensor | | `RND_NOISE` | NOISE | Noise for the sampler | | `SEED` | INT | Passthrough of latent seed | | `NOISE_SEED` | INT | Passthrough of noise seed | | `MEGAPIXELS` | STRING | Passthrough of selected megapixels value | | `WIDTH` | INT | Calculated latent width in pixels | | `HEIGHT` | INT | Calculated latent height in pixels | | `TARGET_WIDTH` | INT | CLIP target width (WIDTH × clip_multiplier) | | `TARGET_HEIGHT` | INT | CLIP target height (HEIGHT × clip_multiplier) | ### Usage Generates a ready-to-use latent and noise pair with reproducible results via independent `seed` and `noise_seed` controls. Dimensions are automatically calculated from the selected aspect ratio, megapixels, and model architecture. Connect `LATENT` and `RND_NOISE` directly to a sampler, and pass `TARGET_WIDTH` / `TARGET_HEIGHT` to a CLIP text encoder for conditioning. --- [View on GitHub](https://github.com/tenser-tensor/ComfyUI-TenserTensor)