Type: huggingface.text_to_image.Text2Image
Namespace: huggingface.text_to_image
Description
Generates images from text prompts using AutoPipeline for automatic pipeline selection. image, generation, AI, text-to-image, auto
Use cases:
- Automatic selection of the best pipeline for a given model
- Flexible image generation without pipeline-specific knowledge
- Quick prototyping with various text-to-image models
- Streamlined workflow for different model architectures
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| model | hf.text_to_image |
The model to use for text-to-image generation. | {'type': 'hf.text_to_image', 'repo_id': '', 'path': None, 'variant': None, 'allow_patterns': None, 'ignore_patterns': None} |
| prompt | str |
A text prompt describing the desired image. | A cat holding a sign that says hello world |
| negative_prompt | str |
A text prompt describing what to avoid in the image. | `` |
| num_inference_steps | int |
The number of denoising steps. | 50 |
| guidance_scale | float |
The scale for classifier-free guidance. | 7.5 |
| width | int |
The width of the generated image. | 512 |
| height | int |
The height of the generated image. | 512 |
| pag_scale | float |
Scale of the Perturbed-Attention Guidance applied to the image. | 3.0 |
| seed | int |
Seed for the random number generator. Use -1 for a random seed. | -1 |
Outputs
| Output | Type | Description |
|---|---|---|
| image | image |
|
| latent | torch_tensor |
Metadata
Related Nodes
Browse other nodes in the huggingface.text_to_image namespace.