Type: huggingface.text_to_image.QwenImage
Namespace: huggingface.text_to_image
Description
Generates images from text prompts using Qwen-Image with support for GGUF quantization. image, generation, AI, text-to-image, qwen, quantization
Use cases:
- High-quality, general-purpose text-to-image generation
- Memory-efficient generation using GGUF quantization
- Quick prototyping leveraging AutoPipeline
- Works out-of-the-box with the official Qwen model
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| model | hf.qwen_image |
The Qwen-Image model to use for text-to-image generation. | {'type': 'hf.qwen_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. | `` |
| true_cfg_scale | float |
True CFG scale for Qwen-Image models. | 1.0 |
| num_inference_steps | int |
The number of denoising steps. | 50 |
| 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 |
| enable_memory_efficient_attention | bool |
Enable memory efficient attention to reduce VRAM usage. | True |
| enable_cpu_offload | bool |
Enable CPU offload to reduce VRAM usage. | True |
Outputs
| Output | Type | Description |
|---|---|---|
| output | image |
Metadata
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