Base model: LTXV2 Trained words: jockstrap
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Base model: LTXV2 Trained words: jockstrap
🔑 Get your MUAPI key from muapi.ai/access-keys
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1 QuelleVerifiziert 25. Sept.
Modellartefakte
1 Artefaktjockstrap-varied-colors-styles-and-concepts-klein-ltx2-zit-flux-pony-sdxl.safetensors
safetensors · 588 MB · SHA-256 b73f6f086b5a…df95 · Hugging Face
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2 Auszügeimport 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": "jockstrap-varied-colors-styles-and-concepts-klein-ltx2-zit-flux-pony-sdxl",
"lora_strength": 1.0,
"width": 768,
"height": 512,
"num_frames": 97
}
print(requests.post(url, headers=headers, json=payload).json())
--- license: openrail++ library_name: diffusers base_model: Lightricks/LTX-Video tags: - lora - text-to-video - ltx - ltx-video - ltxv2 pipeline_tag: text-to-video --- # Jockstrap - varied colors, styles and concepts (Klein, LTX2, ZIT, FLUX, Pony & SDXL)  **Base model**: LTXV2 **Trained words**: jockstrap ## 🧠 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": "jockstrap-varied-colors-styles-and-concepts-klein-ltx2-zit-flux-pony-sdxl", "lora_strength": 1.0, "width": 768, "height": 512, "num_frames": 97 } print(requests.post(url, headers=headers, json=payload).json()) ```
Source context: 24 downloads · 0 likes · Pipeline text-to-video · Library diffusers · Repo Muapi/jockstrap-varied-colors-styles-and-concepts-klein-ltx2-zit-flux-pony-sdxl