Goldeneye64 Slide
Base model: LTXV2 Trained words:
Fuente del modelo
- Tipo
- Other
- Tamaño del archivo
- 588 MB
- Modelo base
- Lightricks/LTX-Video
- Versión
- vRevision 3ff5ce9
- Actualizado
- 27 sept 2026
- Descargas
- 6
- Fuente
- Hugging Face
Descripción de la fuente
Goldeneye64 Slide
preview
Base model: LTXV2 Trained words:
🧠 Usage (Python)
🔑 Get your MUAPI key from muapi.ai/access-keys
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": "goldeneye64-slide",
"lora_strength": 1.0,
"width": 768,
"height": 512,
"num_frames": 97
}
print(requests.post(url, headers=headers, json=payload).json())
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 31 ago
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactogoldeneye64-slide.safetensors
safetensors · 588 MB · SHA-256 16af2f458c19…1144 · Hugging Face
DescargarExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: openrail++ library_name: diffusers base_model: Lightricks/LTX-Video tags: - lora - text-to-video - ltx - ltx-video - ltxv2 pipeline_tag: text-to-video --- # Goldeneye64 Slide  **Base model**: LTXV2 **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": "goldeneye64-slide", "lora_strength": 1.0, "width": 768, "height": 512, "num_frames": 97 } print(requests.post(url, headers=headers, json=payload).json()) ```
Source context: 6 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/goldeneye64-slide
