Svdq-Int4-Flux.1-Dev
by ModelsLabThis 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 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://github.com/mit-han-lab/nunchaku), 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-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 https://github.com/mcmonkeyprojects/SwarmUI/releases/download/0.9.5-Beta/install-windows.bat 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/
Workflows for nunchaku
https://github.com/mit-han-lab/ComfyUI-nunchaku?tab=readme-ov-file
svdqint4flux1devInput
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 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 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 ID
- svdqint4flux1dev
- Provider
- Modelslab
- Category
- Image Models
- Task
- Text to Image
- Price
- $0.0047 per API call
- Added
- June 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 to get started.
import requestsimport jsonurl = "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
Use Cases
- Product photography and e-commerce visuals
- Marketing and social media content creation
- Concept art and design prototyping
- Custom illustrations and artwork
Svdq-Int4-Flux.1-Dev FAQ
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
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.
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.
The model ID for Svdq-Int4-Flux.1-Dev is "svdqint4flux1dev". Use this ID in your API requests to specify this model.
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.