LTX 2.3 Spicy LoRA Image to Video API turns a reference image and prompt into expressive AI videos using selectable LoRA presets, optional LoRA strength overrides, duration, and resolution controls. Run fast REST inference on WaveSpeedAI with no cold starts and affordable pricing.
Bereit
$0.15pro Durchlauf·~66 / $10
The woman slowly walks through the neon alley while holographic signs flicker around her. She glances sideways, her coat moves naturally, and reflections shimmer on the wet ground. Smooth cinematic tracking shot, realistic motion.
wavespeed-ai/ltx-2.3-spicy/image-to-video-lora uses the same audio-video generation pipeline as the base image-to-video endpoint, while adding a curated LoRA stack for stronger style, motion, and visual control. You can use the recommended preset or override individual LoRA strengths per request.
Same base image-to-video workflow
Uses the same core audio-video pipeline as the base image-to-video endpoint.
Preset-based LoRA control
Choose between original for lighter styling or tuned for the recommended LoRA stack.
Per-LoRA override support Override individual LoRA strengths on top of the selected preset for more flexible control.
Style, motion, and look control Fine-tune visual style, motion behavior, and overall output feel with a curated LoRA set.
Unlimited creative flexibility Designed for users who want more direct control over the generation result.
This endpoint supports all inputs from the base image-to-video endpoint, plus the following extra fields:
| Parameter | Required | Description |
|---|---|---|
preset | No | LoRA preset. original applies lighter styling. tuned applies the recommended LoRA stack. Default: tuned. |
loras | No | Per-LoRA strength overrides merged on top of the selected preset. Example: {"omninft": 0.5, "better_motion": 0.3}. Unknown keys are ignored. Default: {}. |
sulphur, sulphur_v1, vbvr, dreamly, synth, plora, singularity, omninft, omninft_bf16, better_motion, physics_v2, hardcut, transition
image-to-video endpoint.tuned for the recommended LoRA stack or original for a lighter effect.loras object to adjust individual LoRA strengths.| Resolution | Per 5s | Per second | Max length |
|---|---|---|---|
| 480p | $0.15 | $0.03 / s | 20 s |
| 720p | $0.25 | $0.05 / s | 20 s |
| 1080p | $0.35 | $0.07 / s | 20 s |
720p costs 5/3× the 480p price.1080p costs 7/3× the 480p price.max(5, min(duration, 20)).better_motion or physics_v2 to guide output behavior.preset = tuned for the recommended default behavior.preset = original when you want results closer to the base input style.loras object to override only the LoRAs you want to adjust.0 if you want to disable that LoRA while keeping the rest of the preset unchanged.image-to-video inputs and adds preset and loras.preset is tuned.loras value is {}.loras: {"omninft": 0} to fully disable that LoRA from the selected preset without changing the rest.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3-spicy/image-to-video-lora with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Ltx 2.3 Spicy Image To Video Lora below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ltx-2.3-spicy/image-to-video-lora" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"preset": "tuned",
"resolution": "480p",
"duration": 5,
"seed": -1
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("wavespeed-ai/ltx-2.3-spicy/image-to-video-lora", {
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"preset": "tuned",
"resolution": "480p",
"duration": 5,
"seed": -1
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"wavespeed-ai/ltx-2.3-spicy/image-to-video-lora",
{
"image": "https://example.com/your-input.jpg",
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"preset": "tuned",
"resolution": "480p",
"duration": 5,
"seed": -1
}
)
print(output["outputs"][0]) # → URL of the generated outputLtx 2.3 Spicy Image To Video Lora is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. LTX 2.3 Spicy LoRA Image to Video API turns a reference image and prompt into expressive AI videos using selectable LoRA presets, optional LoRA strength overrides, duration, and resolution controls. Run fast REST inference on WaveSpeedAI with no cold starts and affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2.3-spicy-image-to-video-lora.
Ltx 2.3 Spicy Image To Video Lora starts at $0.15 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `image`, `resolution`, `duration`, `seed`, `loras`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ltx-2.3-spicy-image-to-video-lora.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (WaveSpeedAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.