| language: en | |
| license: apache-2.0 | |
| tags: | |
| - zen | |
| - zenlm | |
| - hanzo | |
| - zen3 | |
| - text-to-image | |
| - diffusion | |
| pipeline_tag: text-to-image | |
| library_name: diffusers | |
| # Zen3 Image Dev | |
| Developer variant of Zen3 Image for research and fine-tuning workflows. | |
| ## Overview | |
| Built on **Zen MoDE (Mixture of Distilled Experts)** architecture with 12B parameters. | |
| Developed by [Hanzo AI](https://hanzo.ai) and the [Zoo Labs Foundation](https://zoo.ngo). | |
| ## Quick Start | |
| ```python | |
| from diffusers import AutoPipelineForText2Image | |
| import torch | |
| model_id = "zenlm/zen3-image-dev" | |
| pipe = AutoPipelineForText2Image.from_pretrained(model_id, torch_dtype=torch.bfloat16) | |
| pipe = pipe.to("cuda") | |
| image = pipe("A serene mountain landscape at sunset, photorealistic").images[0] | |
| image.save("output.png") | |
| ``` | |
| ## API Access | |
| ```python | |
| from openai import OpenAI | |
| client = OpenAI(base_url="https://api.hanzo.ai/v1", api_key="your-api-key") | |
| response = client.images.generate( | |
| model="zen3-image-dev", | |
| prompt="A serene mountain landscape at sunset", | |
| size="1024px", | |
| ) | |
| print(response.data[0].url) | |
| ``` | |
| ## Model Details | |
| | Attribute | Value | | |
| |-----------|-------| | |
| | Parameters | 12B | | |
| | Architecture | Zen MoDE | | |
| | Max Resolution | 1024px | | |
| | License | Apache 2.0 | | |
| ## License | |
| Apache 2.0 | |