
Former Splendor - V1.0
by ModelsLabSometimes it gets a little creative with clothes, adding his own details. It looks surreal.There may be signature in the background sometimes. I didn't notice when I was editing the practice images.
former-splendor-v1-0Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
Related Models
Discover similar models you might be interested in
About Former Splendor - V1.0
Sometimes it gets a little creative with clothes, adding his own details. It looks surreal.There may be signature in the background sometimes. I didn't notice when I was editing the practice images.
Technical Specifications
- Model ID
- former-splendor-v1-0
- Provider
- Modelslab
- Category
- Image Models
- Task
- Text to Image
- Price
- $0.0047 per API call
- Added
- July 9, 2025
Key Features
- High-resolution AI image generation from text prompts
- Negative prompt support for precise control
- Multiple output formats and aspect ratios
- Adjustable inference steps and guidance scale
- Batch generation support via API
Quick Start
Integrate Former Splendor - V1.0 into your application with a single API call. Get your API key from the pricing page to get started.
import requestsimport jsonurl = "https://modelslab.com/api/v6/images/text2img"headers = {"Content-Type": "application/json"}data = {"model_id": "former-splendor-v1-0","prompt": "your prompt here","key": "YOUR_API_KEY"}try:response = requests.post(url, headers=headers, json=data)response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)result = response.json()print("API Response:")print(json.dumps(result, indent=2))except requests.exceptions.HTTPError as http_err:print(f"HTTP error occurred: {http_err} - {response.text}")except Exception as err:print(f"Other error occurred: {err}")
Pricing
Former Splendor - V1.0 API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. View pricing plans
Use Cases
- Product photography and e-commerce visuals
- Marketing and social media content creation
- Concept art and design prototyping
- Custom illustrations and artwork
Former Splendor - V1.0 FAQ
Sometimes it gets a little creative with clothes, adding his own details. It looks surreal.There may be signature in the background sometimes. I didn't notice when I was editing the practice images.
You can integrate Former Splendor - V1.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "former-splendor-v1-0" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Former Splendor - V1.0 costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started.
The model ID for Former Splendor - V1.0 is "former-splendor-v1-0". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try Former Splendor - V1.0 and other AI models. Sign up to get free API credits and start building immediately.





![MS Paint drawing [FLUX] - v1.0](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/ea5ec82c-b3a1-41b0-abcc-d5bac021d404/width=1800/24643743.jpeg)

![Food Formations [FLUX] - v1](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/871703f1-a9cb-4221-b453-74482b1c4702/width=832/50142692.jpeg)




![Jinx - Arcane (League of Legends) [FLUX] LoRA - v1.0](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/59b413b3-7104-4df3-83fb-11ab0c9e81fa/width=576/28404186.jpeg)
![GPT Image 1 Style [FLUX] - FLUX v0.1](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/233ec658-1d12-47f9-8de5-b9c78836a729/width=720/74838224.jpeg)


![Sophie Molgrin (AI generated character) [Flux/SDXL/Pony] - Flux v5.0](https://images.stablediffusionapi.com/?Image=https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/859e1039-66b2-4c68-b593-e957f52999d1/width=1024/38383078.jpeg)