Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2
by ModelsLabThis version is more enhanced than previous one(s).Trigger word has been changed but maynot be important.The more important is what you describe.You can choose words like, character on the left, on the right, in front of camera, standing behind, etc.Try to avoid words like background, etc Flux seems to use blur depth when adding such a word, even if you type deep focus background.
split-diopter-style-deep-focus-xl-flux1d-split-focus-f1d-v2Input
Per image generation will cost 0.0047$
For premium plan image generation will cost 0.00$ i.e Free.
Output
Unknown content type
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About Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2
This version is more enhanced than previous one(s).Trigger word has been changed but maynot be important.The more important is what you describe.You can choose words like, character on the left, on the right, in front of camera, standing behind, etc.Try to avoid words like background, etc Flux seems to use blur depth when adding such a word, even if you type deep focus background.
Technical Specifications
- Model ID
- split-diopter-style-deep-focus-xl-flux1d-split-focus-f1d-v2
- Provider
- Modelslab
- Category
- Image Models
- Task
- Text to Image
- Price
- $0.0047 per API call
- Added
- July 8, 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 Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2 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": "split-diopter-style-deep-focus-xl-flux1d-split-focus-f1d-v2","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
Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2 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
Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2 FAQ
This version is more enhanced than previous one(s).Trigger word has been changed but maynot be important.The more important is what you describe.You can choose words like, character on the left, on the right, in front of camera, standing behind, etc.Try to avoid words like background, etc Flux seems
You can integrate Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "split-diopter-style-deep-focus-xl-flux1d-split-focus-f1d-v2" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2 costs $0.0047 per API call. ModelsLab plans start at $21/month (Basic), and the $149/month Open Source plan includes unlimited generation on open-source models.
The model ID for Split Diopter Style (Deep Focus) XL + Flux1D - Split Focus F1D V2 is "split-diopter-style-deep-focus-xl-flux1d-split-focus-f1d-v2". Use this ID in your API requests to specify this model.
No — ModelsLab is subscription-based, with plans from $21/month (Basic, 3,250 API calls). The $149/month Open Source plan includes unlimited generation across open-source models.