Text-to-Image
Diffusers
Safetensors
English
Chinese
LLaDAImagePipeline
image-generation
image-editing
image-to-image
Instructions to use inclusionAI/LLaDA-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use inclusionAI/LLaDA-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("inclusionAI/LLaDA-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
kenshin commited on
Commit ·
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Parent(s): c794cb9
Update model card and showcase assets
Browse files- .gitattributes +1 -0
- README.md +39 -7
- demo.png → assets/demo.jpg +2 -2
- assets/demo_p2.jpg +3 -0
- assets/edit_demo.jpg +3 -0
.gitattributes
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*.zst filter=lfs diff=lfs merge=lfs -text
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README.md
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<p align="center">
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Welcome to the official repository for LLaDA-Image, a unified model for high-quality image generation and editing.
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</p>
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<p align="center">
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<img src="demo.
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</p>
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## Introduction
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## News
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## Highlights
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## Model Zoo
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| Model
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| **LLaDA-Image**
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| **LLaDA-Image-Turbo** | Distilled model for fast generation and editing.
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## Quick Start
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git clone https://github.com/inclusionAI/LLaDA-Image.git
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cd LLaDA-Image
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pip install -r requirements.txt
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```
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---
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language:
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- en
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- zh
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library_name: diffusers
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pipeline_tag: text-to-image
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tags:
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- image-generation
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- image-editing
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- image-to-image
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- text-to-image
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---
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<h1 align="center">LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes</h1>
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<p align="center">
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Welcome to the official repository for LLaDA-Image, a unified model for high-quality image generation and editing.
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</p>
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<p align="center">
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<img class="not-prose" src="./assets/demo.jpg" alt="LLaDA-Image realistic image generation showcase" width="100%">
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<em>Photorealistic image generation with natural lighting, lifelike details, and coherent scenes.</em>
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</p>
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<p align="center">
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<img class="not-prose" src="./assets/demo_p2.jpg" alt="LLaDA-Image text rendering and poster generation showcase" width="100%">
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<em>High-quality text rendering and creative poster generation across diverse visual styles.</em>
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</p>
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<p align="center">
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<img class="not-prose" src="./assets/edit_demo.jpg" alt="LLaDA-Image editing showcase" width="100%">
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<em>Instruction-guided image editing with faithful content preservation and precise visual changes.</em>
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</p>
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## Introduction
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## News
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- **2026-09-0X:** We released the LLaDA-Image Base and Turbo checkpoints together with the inference code.
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## Highlights
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## Model Zoo
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| Model | Description | Sampling steps | Hugging Face |
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| --------------------- | ------------------------------------------------------------------------------------- | -------------: | ------------------------------------------------------------------------------------- |
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| **LLaDA-Image** | Base model for high-fidelity text-to-image generation and instruction-guided editing. | 50 | [inclusionAI/LLaDA-Image](https://huggingface.co/inclusionAI/LLaDA-Image) |
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| **LLaDA-Image-Turbo** | Distilled model for fast generation and editing. | 4 | [inclusionAI/LLaDA-Image-Turbo](https://huggingface.co/inclusionAI/LLaDA-Image-Turbo) |
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## Opensource Plan
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- [x] Inference code and model weights
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- [ ] Training code (coming soon)
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## Quick Start
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git clone https://github.com/inclusionAI/LLaDA-Image.git
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cd LLaDA-Image
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conda create -n llada-image python=3.11 -y
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conda activate llada-image
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pip install -r requirements.txt
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```
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demo.png → assets/demo.jpg
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assets/demo_p2.jpg
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Git LFS Details
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assets/edit_demo.jpg
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Git LFS Details
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