Zum Inhalt springen
ModelAufgelistetExtern
Herunterladen

Inksediment

Base model: Illustrious Trained words: InkSediment

ArtLoRABasismodellOnomaAIResearch/Illustrious-xl-early-release-v0Versioninksediment

Modellquelle

Art
LoRA
Dateigröße
435 MB
Basismodell
OnomaAIResearch/Illustrious-xl-early-release-v0
Version
vinksediment
Aktualisiert
13. Okt. 2026
Quelle
Hugging Face

Quellenbeschreibung

InkSediment

preview

Base model: Illustrious Trained words: InkSediment

🧠 Usage (Python)

🔑 Get your MUAPI key from muapi.ai/access-keys

import requests, os
url = "https://api.muapi.ai/api/v1/sdxl-lora-image"
headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
payload = {
    "prompt": "masterpiece, best quality",
    "lora_model": "inksediment",
    "lora_strength": 1.0,
    "width": 1024,
    "height": 1024,
    "num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())

Quellen

1 Quelle
Hugging FacePrimärVersion 2dc1b36c83864b2854e02f12b2ea5ddc2d668e55
huggingface.co/Muapi/inksediment/tree/2dc1b36c83864b2854e02f12b2ea5ddc2d668e55

Verifiziert 13. Okt.

Modellartefakte

1 Artefakt

inksediment.safetensors

safetensors · 435 MB · SHA-256 28a2a46e8dd2…f621 · Hugging Face

Herunterladen

Quellenauszüge

2 Auszüge

--- license: openrail++ library_name: diffusers base_model: OnomaAIResearch/Illustrious-xl-early-release-v0 tags: - lora - text-to-image - stable-diffusion-xl - illustrious - illustrious pipeline_tag: text-to-image --- # InkSediment ![preview](./preview.jpg) **Base model**: Illustrious **Trained words**: InkSediment ## 🧠 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/sdxl-lora-image" headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")} payload = { "prompt": "masterpiece, best quality", "lora_model": "inksediment", "lora_strength": 1.0, "width": 1024, "height": 1024, "num_images": 1 } print(requests.post(url, headers=headers, json=payload).json()) ```

Source context: 9 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Muapi/inksediment