LTX-2.5 image to video with audio

Animate a starting image into one video with generated audio using LTX-2.5. Upload a first frame and describe the scene, action, camera movement, and desired sounds or dialogue. There is no audio-upload input. For a first run, replace the example prompt to match your image and keep 5 seconds, 24 FPS, 16:9, and 0.9 output megapixels. Use an image with a similar aspect ratio when composition matters. Aspect ratio and megapixels determine output dimensions rounded to a 32-pixel multiple. Initial generation uses half those dimensions, followed by 2× spatial latent upsampling and joint video/audio refinement. Increasing resolution, duration, or FPS increases the work required. Enhance prompt selects a rewrite informed by your text and uploaded image. Turn it off to select your original wording. Enhancement length controls the rewrite's text budget, not video duration. Sample enhanced wording uses on/off choices; temperature, probability filters, penalties, and enhancement seed apply when sampling is on. Thinking mode depends on support from the fixed enhancement model, and Use enhancement template selects its built-in template when available. Text-to-video mode bypasses starting-frame injection in both stages. An image upload remains required because preprocessing stays connected. Also turn off Enhance prompt to make generation conditioning come only from your text. Initial and refinement image strengths are independent and inactive in text-to-video mode. The uploaded alpha mask is not connected; transparency is not preserved as an output feature. Enter positive whole-second duration and a whole frame rate from 1 to 120 FPS. Choose duration × FPS divisible by 8, with duration × FPS + 1 at most 1000. At 24 FPS, whole-second durations from 1 through 41 meet these conditions. The default requests 121 frames, so playback can be about one frame longer than five seconds. Generation, refinement, and sampled prompt enhancement have separate seeds. Use -1 to randomize each run. For comparisons with fixed random inputs, set all applicable seeds explicitly and keep enhancement settings unchanged. Both stages share the negative prompt and expose separate video and audio guidance inputs. Keep guidance at 1 for a first run; supported tuning ranges are not established by the supplied evidence. Advanced settings preserve independent samplers and editable comma-separated noise schedules for both stages, plus source-image compression from 0 to 100. Keep their authored defaults initially. There is no separate Steps control: the manual schedules define sampling transitions. Image compression affects the image used for enhancement and conditioning. Export settings offer automatic or explicit container and codec selection, with 8- or 10-bit video assembly. Keep auto and 8-bit for a first run. The source notes that 10-bit supports smoother gradients but may have more limited compatibility. Export settings affect encoding rather than generation. The retained CRF field stays hidden at -1 because its effective quality behavior is not established by the supplied evidence.

Animate a starting image into one video with generated audio using LTX-2.5. Upload a first frame and describe the scene, action, camera movement, and desired sounds or dialogue. There is no audio-upload input. For a first run, replace the example prompt to match your image and keep 5 seconds, 24 FPS, 16:9, and 0.9 output megapixels. Use an image with a similar aspect ratio when composition matters. Aspect ratio and megapixels determine output dimensions rounded to a 32-pixel multiple. Initial generation uses half those dimensions, followed by 2× spatial latent upsampling and joint video/audio refinement. Increasing resolution, duration, or FPS increases the work required. Enhance prompt selects a rewrite informed by your text and uploaded image. Turn it off to select your original wording. Enhancement length controls the rewrite's text budget, not video duration. Sample enhanced wording uses on/off choices; temperature, probability filters, penalties, and enhancement seed apply when sampling is on. Thinking mode depends on support from the fixed enhancement model, and Use enhancement template selects its built-in template when available. Text-to-video mode bypasses starting-frame injection in both stages. An image upload remains required because preprocessing stays connected. Also turn off Enhance prompt to make generation conditioning come only from your text. Initial and refinement image strengths are independent and inactive in text-to-video mode. The uploaded alpha mask is not connected; transparency is not preserved as an output feature. Enter positive whole-second duration and a whole frame rate from 1 to 120 FPS. Choose duration × FPS divisible by 8, with duration × FPS + 1 at most 1000. At 24 FPS, whole-second durations from 1 through 41 meet these conditions. The default requests 121 frames, so playback can be about one frame longer than five seconds. Generation, refinement, and sampled prompt enhancement have separate seeds. Use -1 to randomize each run. For comparisons with fixed random inputs, set all applicable seeds explicitly and keep enhancement settings unchanged. Both stages share the negative prompt and expose separate video and audio guidance inputs. Keep guidance at 1 for a first run; supported tuning ranges are not established by the supplied evidence. Advanced settings preserve independent samplers and editable comma-separated noise schedules for both stages, plus source-image compression from 0 to 100. Keep their authored defaults initially. There is no separate Steps control: the manual schedules define sampling transitions. Image compression affects the image used for enhancement and conditioning. Export settings offer automatic or explicit container and codec selection, with 8- or 10-bit video assembly. Keep auto and 8-bit for a first run. The source notes that 10-bit supports smoother gradients but may have more limited compatibility. Export settings affect encoding rather than generation. The retained CRF field stays hidden at -1 because its effective quality behavior is not established by the supplied evidence.