--- title: Zavychromaxl V6 API | Text to Image | ModelsLab description: Generate images from text with Zavychromaxl V6. High-resolution AI image generation. Plans from $21/month. url: https://modelslab.com/models/modelslab/zavychromaxl-v6.md canonical: https://modelslab.com/models/modelslab/zavychromaxl-v6 type: product component: Playground/Endpoint/Index generated_at: 2026-10-16T21:35:57.246514Z --- [![zavychromaxl-v6 thumbnail](https://assets.modelslab.ai/api-logos/01KPMZY676ZM0Z7YJWBM9C78QP.png)](https://modelslab.com/models/modelslab)Zavychromaxl-V6 --- [by ModelsLab](https://modelslab.com/models/modelslab)To better understand the preferences of the model, individuals are encouraged to utilise the provided prompts as a foundation and then customise, modify, or expand upon them according to their desired objectives. Ditch the refiner, an img2img ultimate SD upscaler gets better results when you select this model for it. Consider using face restoration techniques when the result for the face is subpar, but the rest of the image is interesting. If you find that the details in your work are lacking, consider using wowifier if you’re unable to fix it with prompt alone. wowifier or similar tools can enhance and enrich the level of detail, resulting in a more compelling output. ComfyUI is the UI I use for my SDXL images. Your 1.5 LORAs won't work in SDXL. Consider finding new prompts, don't use the standard 1.5 ones. SDXL likes a combination of a natural sentence with some keywords added behind. To maintain optimal results and avoid excessive duplication of subjects, limit the generated image size to a maximum of 1024x1024 pixels or 640x1536 (or vice versa). If you require higher resolutions, it is recommended to utilise the Hires fix, followed by the img2img upscale technique, with particular emphasis on the controlnet tile upscale method. This approach will help you achieve superior results when aiming for higher resolution outputs. However, as this workflow doesn't work with SDXL yet, you may want to use an SD1.5 model for the img2img step. more `zavychromaxl-v6` Open Source Model [Unlimited Usage](https://modelslab.com/pricing) [LLMs.txt](https://modelslab.com/models/modelslab/zavychromaxl-v6/llms.txt) [API Playground](/models/modelslab/zavychromaxl-v6)API DocumentationVibe CodeRelated ModelsDeveloper SupportModel SpecsEnterprise Deployment Input --- Prompt a cozy wooden cabin beside a calm mountain lake at sunrise, pine forest, soft golden light, mist over the water, highly detailed, sharp focus, professional photography Model LoRA Model HuggingFaceLibrary Select models... Width Height Advanced Settings Customize your input with more control. **$0.0047** per image generation Login to Generate Output --- Idle Unknown content type Looking for something different? --- Models that trade off differently against the one you are viewing ### Better quality Newer flagship models that generally produce stronger results. 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Ditch the refiner, an img2img ultimate SD upscaler gets better results when you select this model for it. Consider using face restoration techniques when the result for the face is subpar, but the rest of the image is interesting. If you find that the details in your work are lacking ### Technical Specifications Model IDzavychromaxl-v6 ProviderModelsLab TaskAI Generation Price$0.0047 per API call AddedApril 13, 2024 ### Quick Start Integrate Zavychromaxl-V6 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": "zavychromaxl-v6", "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 Zavychromaxl-V6 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](https://modelslab.com/pricing) [Browse All Models](https://modelslab.com/models) [More from ModelsLab](https://modelslab.com/models/modelslab) [View Pricing](https://modelslab.com/pricing) Zavychromaxl-V6 FAQ --- ### What is Zavychromaxl-V6? To better understand the preferences of the model, individuals are encouraged to utilise the provided prompts as a foundation and then customise, modify, or expand upon them according to their desired objectives. Ditch the refiner, an img2img ultimate SD upscaler gets better results when you select ### How do I use the Zavychromaxl-V6 API? You can integrate Zavychromaxl-V6 into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "zavychromaxl-v6" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation. ### How much does Zavychromaxl-V6 cost? Zavychromaxl-V6 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. ### What is the Zavychromaxl-V6 model ID? The model ID for Zavychromaxl-V6 is "zavychromaxl-v6". Use this ID in your API requests to specify this model. ### Do I need a paid plan to use Zavychromaxl-V6? Yes. ModelsLab is subscription-based with no free tier — plans start at $21/month (Basic, 3,250 API calls). The $149/month Open Source Unlimited plan includes unlimited generation across open-source models; premium third-party models are billed per call from your wallet. --- *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 - 2026-10-17*