TenserTensor
93244a7730
Implement workflow configuration nodes: - flux_workflow_settings.py: basic Flux workflow configuration - flux_workflow_settings_advanced.py: advanced Flux settings with extended prompt fields - sdxl_workflow_settings.py: basic SDXL workflow configuration - sdxl_workflow_settings_advanced.py: advanced SDXL settings with extended prompt fields - latent_factory.py: generate latents with aspect ratio, megapixels, orientation, and type selection Add markdown documentation for all nodes
1.8 KiB
1.8 KiB
TT Latent Factory
This description was generated with AI assistance. If you spot any errors, please create an issue on GitHub.
Generate empty latent images with precise dimension control based on aspect ratio and megapixel count.
Automatically calculates correct dimensions for FLUX and SDXL models, plus separate CLIP conditioning sizes.
Parameters
| Parameter | Type | Description |
|---|---|---|
aspect_ratio |
DROPDOWN | Image proportions (1:1, 4:3, 3:2, 16:9, 21:9) |
megapixels |
DROPDOWN | Total resolution (0.5 MP, 1 MP, 2 MP, 4 MP, 8 MP) |
orientation |
DROPDOWN | landscape or portrait |
model_type |
DROPDOWN | FLUX (16 channels) or SDXL (4 channels) |
clip_multiplier |
DROPDOWN | CLIP target size multiplier (1x, 2x, 4x) |
batch_size |
INT | Number of latents to generate (default: 1) |
Outputs
| Output | Type | Description |
|---|---|---|
latent |
LATENT | Empty latent image tensor with random noise |
width |
INT | Calculated image width (rounded to multiple of 64) |
height |
INT | Calculated image height (rounded to multiple of 64) |
clip_width |
INT | CLIP conditioning target width |
clip_height |
INT | CLIP conditioning target height |
Example
Select 16:9, 2 MP, landscape, FLUX, 2x → generates 1920×1088 latent with 3840×2176 CLIP dimensions.