--- title: Svdq Int4 Flux.1 Dev API | Text to Image | ModelsLab description: Generate images from text with Svdq Int4 Flux.1 Dev. High-resolution AI image generation. Pay-per-use. Free tier. url: https://modelslab.com/models/modelslab/svdqint4flux1dev.md canonical: https://modelslab.com/models/modelslab/svdqint4flux1dev.md type: product component: Playground/Endpoint/Index generated_at: 2026-05-28T18:06:25.707687Z --- [![- svdq-int4-flux.1-dev thumbnail](https://assets.modelslab.ai/api-logos/01KPMZY676ZM0Z7YJWBM9C78QP.png)](https://modelslab.com/models/modelslab) Svdq-Int4-Flux.1-Dev --- [by ModelsLab](https://modelslab.com/models/modelslab)This upload serves as a demonstration of advanced image generation techniques using the publicly available `svdq-int4-flux.1-dev` model (original source: ) in conjunction with my Finesse2FP16Lora and NSFW2FP16Lora. It generates 5X FASTER images than Flux1.Dev while using less than 8GB VRAM on budget GPUs. Please note I am not the original creator of `svdq-int4-flux.1-dev`. The key innovation here is the application of SWDQuant (), which optimizes inference for this model far beyond simple quantization, ensuring the preservation of the original `flux1-dev` quality. ***Nunchaku isn't just another Flux model accelerator***—it's a paradigm shift. The presence of a separate BF16 preserved layers file is evidence of this careful optimization. The showcased images were generated using this optimized `svdq-int4-flux.1-dev` with my Finesse2FP16 Lora in SwarmUI, 20 steps, CFG 1 To replicate these results, please create a `diffusion_models/svdq-int4-flux.1-dev` subdirectory and place the two `.json` and two `.safetensors` files from the provided Hugging Face link inside it. On my Nvidia 3060, generating an image with 20 steps takes only about 50 seconds ([flux1.dev](http://flux1.dev)-fp8 takes about 300 seg, 6x more). This represents a significant leap in efficiency (speed and size) without any noticeable degradation in quality or the characteristic `flux1-dev` aesthetic. If you want to install SwarmUI: In X:\\ (not in C:\\Program files) put into it, then execute it, will create a X:\\SwarmUI. Wait some minutes. A guide for ComfyUI users [https://www.reddit.com/r/StableDiffusion/comments/1j7dzhe/nunchaku\_v014\_svdquant\_comfyui\_portable/](https://www.reddit.com/r/StableDiffusion/comments/1j7dzhe/nunchaku_v014_svdquant_comfyui_portable/) Workflows for nunchaku more `svdqint4flux1dev` Open Source Model [Unlimited Usage](https://modelslab.com/pricing) [LLMs.txt](https://modelslab.com/models/modelslab/svdqint4flux1dev/llms.txt) [API Playground](/models/modelslab/svdqint4flux1dev)ShowcaseAPI DocumentationVibe CodeRelated ModelsDeveloper SupportModel SpecsEnterprise Deployment Input --- Prompt R3alisticF, hauntingly beautiful oriental necromancer, long flowing brown hair, bangs, darkly tanned skin, earrings, bone necklaces, dark eyeshadow, red lips, vibrant, front-laced transparent, filmy silk blouse, cleavage, holding skull, in a sandstone room lit by candles, High Detail, Perfect Composition, high contrast, silhouetted, chiascuro Model Lora Model Select models... Width Height Advanced Settings Customize your input with more control. 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It generates 5X FASTER images than Flux1.Dev while using less than 8GB VRAM on budget GPUs.Please note I am not the original creator of svdq-int4-flux.1-dev.The key innovation here is the application of SWDQuant (https://g ### Technical Specifications Model IDsvdqint4flux1dev ProviderModelslab CategoryImage Models TaskText to Image Price$0.0047 per API call AddedJune 24, 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 Svdq-Int4-Flux.1-Dev into your application with a single API call. Get your API key from the [pricing page](https://modelslab.com/pricing) to get started. PythonJavaScriptcURLPHP ``` import requests import json url = "https://modelslab.com/api/v6/images/text2img" headers = { "Content-Type": "application/json" } data = { "model_id": "svdqint4flux1dev", "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 Svdq-Int4-Flux.1-Dev API costs $0.0047 per API call. Pay only for what you use with no minimum commitments. [View pricing plans](https://modelslab.com/pricing) ### Use Cases - Product photography and e-commerce visuals - Marketing and social media content creation - Concept art and design prototyping - Custom illustrations and artwork [Browse Image Models](https://modelslab.com/models?feature=imagen) [More from Modelslab](https://modelslab.com/models/modelslab) [View Pricing](https://modelslab.com/pricing) Svdq-Int4-Flux.1-Dev FAQ --- ### What is Svdq-Int4-Flux.1-Dev? This upload serves as a demonstration of advanced image generation techniques using the publicly available svdq-int4-flux.1-dev model (original source: https://huggingface.co/mit-han-lab/svdq-int4-flux.1-dev/tree/main) in conjunction with my Finesse2FP16Lora and NSFW2FP16Lora. It generates 5X FASTER ### How do I use the Svdq-Int4-Flux.1-Dev API? You can integrate Svdq-Int4-Flux.1-Dev into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "svdqint4flux1dev" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Svdq-Int4-Flux.1-Dev cost? Svdq-Int4-Flux.1-Dev costs $0.0047 per API call. ModelsLab uses pay-per-use pricing with no minimum commitments. A free tier is available to get started. ### What is the Svdq-Int4-Flux.1-Dev model ID? The model ID for Svdq-Int4-Flux.1-Dev is "svdqint4flux1dev". Use this ID in your API requests to specify this model. ### Does Svdq-Int4-Flux.1-Dev have a free tier? Yes, ModelsLab offers a free tier that lets you try Svdq-Int4-Flux.1-Dev and other AI models. Sign up to get free API credits and start building immediately. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-05-28*