Type: huggingface.text_to_image.Chroma
Namespace: huggingface.text_to_image
Description
Generates images from text prompts using Chroma, a text-to-image model based on Flux. image, generation, AI, text-to-image, flux, chroma, transformer
Use cases:
- Generate high-quality images with Flux-based architecture
- Create images with advanced attention masking for enhanced fidelity
- Generate images with optimized memory usage
- Create professional-quality images with precise color control
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| prompt | str |
A text prompt describing the desired image. | A high-fashion close-up portrait of a blonde woman in clear sunglasses. The image uses a bold teal and red color split for dramatic lighting. The background is a simple teal-green. The photo is sharp and well-composed, and is designed for viewing with anaglyph 3D glasses for optimal effect. It looks professionally done. |
| negative_prompt | str |
A text prompt describing what to avoid in the image. | low quality, ugly, unfinished, out of focus, deformed, disfigure, blurry, smudged, restricted palette, flat colors |
| guidance_scale | float |
The scale for classifier-free guidance. | 3.0 |
| num_inference_steps | int |
The number of denoising steps. | 40 |
| height | int |
The height of the generated image. | 1024 |
| width | int |
The width of the generated image. | 1024 |
| seed | int |
Seed for the random number generator. Use -1 for a random seed. | -1 |
| max_sequence_length | int |
Maximum sequence length to use with the prompt. | 512 |
| enable_cpu_offload | bool |
Enable CPU offload to reduce VRAM usage. | True |
| enable_attention_slicing | bool |
Enable attention slicing to reduce memory usage. | True |
Outputs
| Output | Type | Description |
|---|---|---|
| output | image |
Metadata
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