
FLUX-The Strong Contrast In The Interior Is Designed - V1.0
by ModelsLabType: LORA (FLUX)
Model introduction: Modern industrial style with strong personalization
Trigger word: WD
Number of iterations: 30
Weight 0.8
CFG 3.5
Refining the bottom membrane: The basic model FLUX1-dev is recommended as the basic large model, (the general applicability of other models can be tested independently) Iteration steps Sampling steps: 30, Sampling method: Euler Size recommendation: can be tested independently, all training materials are 768*1024 Enhancement algorithm: 8G memory recommended: 4x-UltraSharp/R-ESRGAN 4x+ Friends with sufficient memory: 8x-NMKD-Superscale
Summary of prompts:
It describes a series of high-quality, minimalist modern interior photography works, covering various space scenes such as living rooms, bedrooms, dining rooms, and stairwells. The following is a summary of these descriptions:
Photography quality and composition: All photos are of high quality, most of them are composed according to the rule of thirds, using guiding lines or symmetrical elements, some use shallow depth of field to highlight the subject, and the background is focused or blurred to enhance the sense of space.
Interior elements: The scene includes modern furniture, such as sofas, coffee tables, dining tables, chairs, beds, cupboards, etc., along with decorative items (such as vases, books, paintings, plants), emphasizing simplicity and functionality.
Material characteristics: a large number of wood (light or dark, showing natural texture), concrete, metal (such as stainless steel appliances, metal lamps), glass (such as partitions, windows) and other materials, combined with weaving, leather and other elements, to create a rich texture space.
Color combination: mainly neutral colors (white, beige, gray, brown), often decorated with bright colors (such as red, blue, yellow), enhance the visual effect through color contrast, the overall tone is simple and fresh.
Lighting: Pay attention to the introduction of natural light, often through large windows, glass partitions, blinds, and other designs to let light in, and adjust the atmosphere with artificial light sources (such as chandeliers, wall lamps, table lamps) in some scenes.
Overall atmosphere: convey a modern aesthetic of tranquility, peace, cleanliness, and warmth, integrate natural elements (such as green plants and natural lighting) to enhance comfort, and showcase a simple yet stylish living or working space.
fluxthestrongcontrastintheinteriorisdesigned-v10Input
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 FLUX-The Strong Contrast In The Interior Is Designed - V1.0
Type: LORA (FLUX)Model introduction: Modern industrial style with strong personalizationTrigger word: WDNumber of iterations: 30Weight 0.8CFG 3.5Refining the bottom membrane: The basic model FLUX1-dev is recommended as the basic large model, (the general applicability of other models can be tested independently) Iteration steps Sampling steps: 30, Sampling method: Euler Size recommendation: can be tested independently, all training materials are 7681024 Enhancement algorithm: 8
Technical Specifications
- Model ID
- fluxthestrongcontrastintheinteriorisdesigned-v10
- Provider
- Modelslab
- Category
- Image Models
- Task
- Text to Image
- Price
- $0.0047 per API call
- Added
- June 4, 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 FLUX-The Strong Contrast In The Interior Is Designed - 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": "fluxthestrongcontrastintheinteriorisdesigned-v10","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}")
View the full API documentation for SDKs, code examples in Python, JavaScript, and more.
Pricing
FLUX-The Strong Contrast In The Interior Is Designed - 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
FLUX-The Strong Contrast In The Interior Is Designed - V1.0 FAQ
Type: LORA (FLUX)Model introduction: Modern industrial style with strong personalizationTrigger word: WDNumber of iterations: 30Weight 0.8CFG 3.5Refining the bottom membrane: The basic model FLUX1-dev is recommended as the basic large model, (the general applicability of other mode
You can integrate FLUX-The Strong Contrast In The Interior Is Designed - V1.0 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "fluxthestrongcontrastintheinteriorisdesigned-v10" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.
FLUX-The Strong Contrast In The Interior Is Designed - 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 FLUX-The Strong Contrast In The Interior Is Designed - V1.0 is "fluxthestrongcontrastintheinteriorisdesigned-v10". Use this ID in your API requests to specify this model.
Yes, ModelsLab offers a free tier that lets you try FLUX-The Strong Contrast In The Interior Is Designed - V1.0 and other AI models. Sign up to get free API credits and start building immediately.






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