ComfyUI Node
LTX-2.3 Two-Stage Sampler (base + refine) ⚡
Base sampling pass, spatial x2 latent upscale, then a refine pass - the official LTX-2.3 two-stage recipe.
LTX-2.3 Two-Stage Sampler (base + refine) ⚡
- model
- positive
- negative
- latent_image
- upscale_model
- vae
- LATENT
◄seed0►
◄base_scheduledmd (8 steps)►
◄base_steps8►
◄refine_seed0►
◄refine_schedulerefine (3 steps)►
◄refine_steps3►
◄cfg1.0►
◄sampler_nameeuler►
Category🤖 CCTech/LTX-2.3
Inputs (14)
| Name | Type | Default | Description |
|---|---|---|---|
| model | MODEL | — | |
| positive | CONDITIONING | — | |
| negative | CONDITIONING | — | |
| latent_image | LATENT | — | |
| upscale_model | LATENT_UPSCALE_MODEL | — | |
| vae | VAE | Video VAE - normalizes the latent around the upscale model. | |
| seed | INT | 00–18446744073709550000 | — |
| base_schedule | COMBO | dmd (8 steps) | 5 options: dmd (8 steps), dmd card (9 steps), dmd upscale (4 steps), distilled (8 steps), refine (3 steps) |
| base_steps | INT | 81–10000 | — |
| refine_seed | INT | 00–18446744073709550000 | — |
| refine_schedule | COMBO | refine (3 steps) | 5 options: dmd (8 steps), dmd card (9 steps), dmd upscale (4 steps), distilled (8 steps), refine (3 steps) |
| refine_steps | INT | 31–10000 | — |
| cfg | FLOAT | 1.00–100 | — |
| sampler_name | COMBO | euler | 44 options: euler, euler_cfg_pp, euler_ancestral, euler_ancestral_cfg_pp, heun, heunpp2, +38 |
Outputs (1)
| Name | Type | Description |
|---|---|---|
| LATENT | LATENT | — |