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Base model: LTXV 2.3 Trained words:
Source du modèle
Description de la source
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Base model: LTXV 2.3 Trained words:
🔑 Get your MUAPI key from muapi.ai/access-keys
Sources
1 sourceVérifié 25 sept.
Artefacts du modèle
1 artefactltx-2.3-multi-step-video-reasoning-lora-vbvr.safetensors
safetensors · 643 MB · SHA-256 3605f3e49e4e…237d · Hugging Face
TéléchargerExtraits de sources
2 extraits--- license: openrail++ library_name: diffusers base_model: Lightricks/LTX-Video tags: - lora - text-to-video - ltx - ltx-video - ltxv-2.3 pipeline_tag: text-to-video --- # LTX 2.3 - Multi Step Video Reasoning lora VBVR  **Base model**: LTXV 2.3 **Trained words**: ## 🧠 Usage (Python) 🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys) ```python import requests, os url = "https://api.muapi.ai/api/v1/ltx_lora_video" headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")} payload = { "prompt": "masterpiece, best quality", "lora_model": "ltx-2.3-multi-step-video-reasoning-lora-vbvr", "lora_strength": 1.0, "width": 768, "height": 512, "num_frames": 97 } print(requests.post(url, headers=headers, json=payload).json()) ```
import requests, os
url = "https://api.muapi.ai/api/v1/ltx_lora_video"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
"prompt": "masterpiece, best quality",
"lora_model": "ltx-2.3-multi-step-video-reasoning-lora-vbvr",
"lora_strength": 1.0,
"width": 768,
"height": 512,
"num_frames": 97
}
print(requests.post(url, headers=headers, json=payload).json())
Source context: 668 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/ltx-2.3-multi-step-video-reasoning-lora-vbvr