Wiro - Controlnet Sdxl Lora
AI-generatedOverview
This node integrates with the Wiro API to perform image generation using the SDXL ControlNet model with LoRA (Low-Rank Adaptation) support. It allows users to specify various model parameters, prompts, and generation settings to control the diffusion-based image generation process. Common use cases include generating images based on textual prompts with fine control over model selection, LoRA models, ControlNet models, and generation parameters such as steps, scale, seed, and output dimensions.
Use Case Examples
- Generating images from text prompts with specific ControlNet and LoRA models for creative or design purposes.
- Using private or public models and LoRA URLs to customize image generation in automated workflows.
- Adjusting inference steps, guidance scale, and scheduler to optimize image quality and style.
Properties
| Name | Meaning |
|---|---|
| Select Model | The primary model to use for image generation. |
| Select Model Private | A private model option for image generation. |
| Select Lora Model | The LoRA model to apply during generation. |
| Select Lora Model Private | A private LoRA model option. |
| Lo RA Model Url | A direct URL to a LoRA model file (.safetensors) to apply during generation. |
| Select Controlnet Model | One or more ControlNet models to use for controlling the diffusion process. |
| Controlnet Preprocess | Whether to enable preprocessing for ControlNet. |
| Prompt | The text prompt guiding the image generation. |
| Negativeprompt | Text prompt to specify what should not appear in the generated image. |
| Numberofoutputs | The number of images to generate. |
| Inferencesteps | The number of inference steps for the diffusion process. |
| Guidancescale | The guidance scale controlling the adherence to the prompt. |
| Seed | Seed value for random number generation to ensure reproducibility. |
| Scheduler | The scheduler algorithm to use during diffusion. |
| Width | Width of the generated image in pixels. |
| Height | Height of the generated image in pixels. |
Output
JSON
taskid- The unique identifier of the image generation task.url- The URL of the generated image once the task is completed.status- The status of the image generation task, e.g., 'completed' or 'failed'.
Dependencies
- Wiro API with API key and secret for authentication
Troubleshooting
- If the node throws an error indicating missing or invalid task ID or socket access token, verify that the Wiro API credentials are correct and the API is reachable.
- If the image generation task status is 'failed', check the input parameters for correctness and ensure the selected models and URLs are valid and accessible.
- Network issues or API rate limits may cause polling to fail; ensure stable internet connection and valid API usage limits.
Links
- Wiro API Documentation - Official documentation for the Wiro API used by this node.