FLUX - V1.0
by ModelsLabFirst and foremost, I extend my heartfelt gratitude to DukeG for their technical support and guidance.I am also deeply thankful to fok3827 for their fine-tuning of the florence2-large-ft-gufeng_v3 model:https://huggingface.co/F16/florence2-large-ft-gufeng_v3(This model excels in recognizing Chinese elements such as Hanfu, group fans, and oil paper umbrellas.)I am grateful to both Chiren Shuo Meng and newtypezx177 for sponsoring the buzz.I also appreciate the efforts of Huan Yue Ling for assisting me with testing.The flux lora model was trained online using civitai, with 410 images, and it cost 6000 buzz to train using kohya.This lora model was completed at the 30-hour mark, and the results are quite promising. I've gone ahead and tested the waters for you.Recommended parameters:Please note that this model may occasionally produce faulty hands and feet, but for the most part, they are good.Sampling Method: Euler simpleSampling Steps: 20CFG Scale: 3.5Training flux requires a more rigorous set of training tags, so it's important to handle them carefully.
flux-v1-0-1752090288Input
Output
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About FLUX - V1.0
First and foremost, I extend my heartfelt gratitude to DukeG for their technical support and guidance.I am also deeply thankful to fok3827 for their fine-tuning of the florence2-large-ft-gufengv3 model:https://huggingface.co/F16/florence2-large-ft-gufengv3(This model excels in recognizing Chinese elements such as Hanfu, group fans, and oil paper umbrellas.)I am grateful to both Chiren Shuo Meng and newtypezx177 for sponsoring the buzz.I also appreciate the efforts of Huan Yue Ling for assisting
Technical Specifications
- Model ID
- flux-v1-0-1752090288
- 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 FLUX - 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": "flux-v1-0-1752090288","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
FLUX - V1.0 API costs $0.0047 per API call. Plans start at $21/month, and open-source models are unlimited on the $149/month plan. 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