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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 artefactgolden-rich-retro-bodies-zit-ltx-2.safetensors
safetensors · 312 MB · SHA-256 8c71c527a020…ea2e · 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 --- # Golden Rich Retro Bodies (ZIT) + (LTX-2)  **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": "golden-rich-retro-bodies-zit-ltx-2", "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": "golden-rich-retro-bodies-zit-ltx-2",
"lora_strength": 1.0,
"width": 768,
"height": 512,
"num_frames": 97
}
print(requests.post(url, headers=headers, json=payload).json())
Source context: 12 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/golden-rich-retro-bodies-zit-ltx-2