LTX 2.5 Ingredients: four-view reference sheet remains as four figures in the output

Abierto
  • ¿Algo no está bien?
#586 0 comentarios 0 reacciones 0 asignados Ver en GitHub

Nadie ha tomado este issue todavía.

Evaluación

Dificultad
4/5
Tiempo estimado
3-5 días
Aptitud para principiantes
45/100
Tipo de issue
Error
Claridad
Bastante claro
Estado de actividad
Activo
Stack tecnológico
python
Área
machine-learning

Línea de trabajo

Start by inspecting the attached workflow_api.json and tracing how LTXAddVideoICLoRAGuide applies the Ingredients guide, then compare the 2.3 and 2.5 adapter behavior at the documented settings. Reproduce the 241-frame workflow and check whether the output retains all four figures. The issue asks for guidance on adapter compatibility and combining Ingredients with first-frame conditioning; a maintainer decision or documented supported workflow would resolve it.

Escrito por el modelo de indexación a partir del texto del issue.

Descripción

We are trying to generate a runway video featuring one fashion model from a reference sheet containing four views of the same person and outfit.

Our setup uses ltx-2.3-22b-ic-lora-ingredients-0.9.safetensors with ltx-2.5-22b-distilled-transformer-bf16.safetensors. The sheet is supplied through the Ingredients guide, not as first-frame conditioning.

Two initial videos showed an almost static sheet with all four figures. A separate Ingredients-only test produced four moving figures. A further test using settings from the reference workflow also retained all four figures. The attached workflow and video are from this latter test.

Attached test settings
  • Ingredients LoRA strength: 1.3
  • Sampler: euler_ancestral_cfg_pp
  • Short side: 544 (source sheet: 768×448)
  • Length: 241 frames at 24 fps
  • CFG: 1; seed: 42
  • The sheet is repeated with RepeatImageBatch and supplied to LTXAddVideoICLoRAGuide, with guide strength 1.0, frame_idx=0 and use_tiled_encode=false.
  • LTXVCropGuides is used before decoding. There is no separate first-frame image and no Union adapter in this test.
  • Spatial tiled decoding was not used. The attached graph uses our custom NativeTemporalDecode node with core=64; this affects decoding, not the conditioning/sampling graph. The temporal-decoder run completed successfully, but the output still contained four figures.

For comparison, the earlier Ingredients-only test used LoRA strength 1.0, euler_ancestral, 768×448, 73 frames at 24 fps and standard VAEDecode. We recognize that 73 frames is below the 2.5 adapter card's documented minimum reference length, so this is not a test at its recommended training settings.

Exact positive prompt used in the attached 241-frame test
A single continuous shot of ONE woman walking naturally toward the camera on a clean white fashion runway. Use the woman and white-and-silver-grey fur jacket from the reference sheet: its four panels show four views of the SAME person and garment, not four people. She has dark curly hair and freckles, a short white fur jacket with irregular silver-grey markings and a wide shawl collar, black trousers, and black high heels. Show her once, full body, centered in the frame. She takes several clear alternating steps, with natural arm swing and moving curls. Preserve her face and garment details. Fixed camera, realistic natural movement, one uninterrupted shot. The output is a runway scene, not a reference sheet.

Negative prompt:

split screen, collage, contact sheet, multiple people, duplicated person, four panels, static reference sheet, cartoon, deformed hands, deformed face

This was a single-paragraph prompt, not the documented two-part Reference sheet: / Generated video: format, so we are not claiming an exact reproduction of the official example prompt.

Questions
  1. Is the 2.3 Ingredients adapter expected to reliably work with the LTX 2.5 distilled base for this use case, or should we use the separate 2.5 Ingredients adapter?
  2. Is there a recommended way to make the model interpret the four panels as views of one person, rather than reproduce four figures?
  3. Is combining the full sheet as an Ingredients guide with a separate single-person first frame supported? Is there a recommended workflow for this?
  4. Would you recommend first testing the separate 2.5 adapter at its documented 768×448, 121 frames and 24 fps, with the two-part prompt, before changing anything else?
Reproduction files

API-format graph for the attached 241-frame result. In the LoadImage node, replace the original local input selector with the attached reference sheet:

workflow_api.json

Reference sheet:

Four views of the same model and outfit used as the Ingredients guide

Corresponding output, reference-ingredients-temporal64-241f.mp4:

https://github.com/user-attachments/assets/84cb61dc-8af0-406d-92b5-c55e5680426e

Lenguaje dominante
Python
Estrellas
4.2k
Forks
508
Merge medio
7 h 14 min
PR fusionados (30 d)
3

Preparar el entorno

Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.

Primeros pasos

  1. Lee el issue completo y luego la guía de contribución del proyecto.
  2. Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
  3. Haz un fork del repositorio y trabaja en una rama.
  4. Abre un pull request que haga referencia al número del issue.

Más de Lightricks/ComfyUI-LTXVideo

Todos los issues de Lightricks/ComfyUI-LTXVideo

Issues similares

Más issues de Python

Recibe los nuevos issues en tu correo

Un resumen breve de issues de GitHub para principiantes.