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SDXL ControlNet Union
sdxl-controlnet-union
Image generationby infery
An efficent SDXL multi-controlnet text-to-image model.
images
Details
- Accepts
- text
Pricing
- Price
- 0.156 cr / second
Prices in credits (1 credit = $0.01).
Data schema
Input
| Field | Type | Description |
|---|---|---|
| seed | — | The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time. |
| loras | array | The list of LoRA weights to use. |
| format | stringenum: jpeg, png | The format of the generated image. |
| promptrequired | string | The prompt to use for generating the image. Be as descriptive as possible for best results. |
| sync_mode | boolean | If `True`, the media will be returned as a data URI and the output data won't be available in the request history. |
| embeddings | array | The list of embeddings to use. |
| image_size | — | The size of the generated image. Leave it none to automatically infer from the control image. |
| num_images | integer | The number of images to generate. |
| request_id | string | An id bound to a request, can be used with response to identify the request itself. |
| expand_prompt | boolean | If set to true, the prompt will be expanded with additional prompts. |
| guidance_scale | number | The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you. |
| teed_image_url | — | The URL of the control image. |
| canny_image_url | — | The URL of the control image. |
| depth_image_url | — | The URL of the control image. |
| negative_prompt | string | The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution). |
| teed_preprocess | boolean | Whether to preprocess the teed image. |
| canny_preprocess | boolean | Whether to preprocess the canny image. |
| depth_preprocess | boolean | Whether to preprocess the depth image. |
| normal_image_url | — | The URL of the control image. |
| normal_preprocess | boolean | Whether to preprocess the normal image. |
| openpose_image_url | — | The URL of the control image. |
| num_inference_steps | integer | The number of inference steps to perform. |
| openpose_preprocess | boolean | Whether to preprocess the openpose image. |
| enable_safety_checker | boolean | If set to true, the safety checker will be enabled. |
| safety_checker_version | stringenum: v1, v2 | The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model. |
| segmentation_image_url | — | The URL of the control image. |
| segmentation_preprocess | boolean | Whether to preprocess the segmentation image. |
| controlnet_conditioning_scale | number | The scale of the controlnet conditioning. |
Output
| Field | Type | Description |
|---|---|---|
| seed | integer | Seed of the generated Image. It will be the same value of the one passed in the input or the randomly generated that was used in case none was passed. |
| images | array | The generated image files info. |
| prompt | string | The prompt used for generating the image. |
| timings | object | |
| has_nsfw_concepts | array | Whether the generated images contain NSFW concepts. |