Wiro - Controlnet Sd Lora
AI-generatedOverview
This node integrates with the Wiro API to generate images using ControlNet with Stable Diffusion and LoRA models. It allows users to specify various model parameters, prompts, and generation settings to control the image synthesis process. Common use cases include generating AI-driven images with fine control over model selection, prompt customization, and output configuration, suitable for creative projects, AI art generation, and experimental image synthesis.
Use Case Examples
- Generating images by selecting a Stable Diffusion model and ControlNet models with custom prompts and LoRA models.
- Using private or public LoRA models via URL to influence image generation.
- Configuring inference steps, guidance scale, seed, and scheduler to fine-tune the output quality and style.
Properties
| Name | Meaning |
|---|---|
| Select Model | The main Stable Diffusion model to use for image generation. |
| Select Model Private | A private Stable Diffusion model option for image generation. |
| Select Controlnet Model | One or more ControlNet models to condition the diffusion process. |
| Lo RA Model Url | A direct URL to a LoRA model (.safetensors) to apply during generation. |
| Controlnet Preprocess | Whether to enable preprocessing for ControlNet. |
| Select Lora Model | A selectable LoRA model to influence image generation. |
| Select Lora Model Private | A private LoRA model option for image generation. |
| Prompt | The text prompt guiding the image generation. |
| Negativeprompt | The negative prompt to specify undesired elements in the image. |
| Numberofoutputs | The number of images to generate. |
| Inferencesteps | The number of inference steps for the diffusion process. |
| Guidancescale | The guidance scale controlling adherence to the prompt. |
| Seed | The random seed for reproducible image generation. |
| Scheduler | The scheduler algorithm used during diffusion. |
| Width | The width of the generated image in pixels. |
| Height | The 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 if the task completed successfully.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 API response does not include a valid task ID or socket access token, the node throws an error indicating an invalid response from the Wiro API.
- Task status codes '-1', '-2', '-3', and '-4' indicate failure states; users should check their input parameters and API credentials.
- Network or authentication issues may cause HTTP request failures; ensure valid API credentials and network connectivity.
Links
- Wiro API Documentation - Official documentation for the Wiro API used by this node.