Taiyi-Stable-Diffusion-XL-3.5B
Maintainer: IDEA-CCNL
53
📈
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
The Taiyi-Stable-Diffusion-XL-3.5B is a powerful text-to-image model developed by IDEA-CCNL that builds upon the foundations of models like Google's Imagen and OpenAI's DALL-E 3. Unlike previous Chinese text-to-image models, which had moderate effectiveness, Taiyi-XL focuses on enhancing Chinese text-to-image generation while retaining English proficiency. This addresses the unique challenges of bilingual language processing.
The training of the Taiyi-Diffusion-XL model involved several key stages. First, a high-quality dataset of image-text pairs was created, with advanced vision-language models generating accurate captions to enrich the dataset. Then, the model expanded the vocabulary and position encoding of a pre-trained English CLIP model to better support Chinese and longer texts. Finally, based on Stable-Diffusion-XL, the text encoder was replaced, and multi-resolution, aspect-ratio-variant training was conducted on the prepared dataset.
Similar models include the Taiyi-Stable-Diffusion-1B-Chinese-v0.1, which was the first open-source Chinese Stable Diffusion model, and AltDiffusion, a bilingual text-to-image diffusion model developed by BAAI.
Model inputs and outputs
Inputs
- Prompt: A text description of the desired image, which can be in English or Chinese.
Outputs
- Image: A visually compelling image generated based on the input prompt.
Capabilities
The Taiyi-Stable-Diffusion-XL-3.5B model excels at generating high-quality, detailed images from both English and Chinese text prompts. It can create a wide range of content, from realistic scenes to fantastical illustrations. The model's bilingual capabilities make it a valuable tool for artists and creators working with both languages.
What can I use it for?
The Taiyi-Stable-Diffusion-XL-3.5B model can be used for a variety of creative and professional applications. Artists and designers can leverage the model to generate concept art, illustrations, and other digital assets. Educators and researchers can use it to explore the capabilities of text-to-image generation and its applications in areas like art, design, and language learning. Developers can integrate the model into creative tools and applications to empower users with powerful image generation capabilities.
Things to try
One interesting aspect of the Taiyi-Stable-Diffusion-XL-3.5B model is its ability to generate high-resolution, long-form images. Try experimenting with prompts that describe complex scenes or panoramic views to see the model's capabilities in this area. You can also explore the model's performance on specific types of images, such as portraits, landscapes, or fantasy scenes, to understand its strengths and limitations.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
🎯
Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1
86
The Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1 model is the first open-source Chinese Stable Diffusion Anime model, trained on a dataset of 1 million low-quality and 10,000 high-quality Chinese anime image-text pairs. Developed by the IDEA-CCNL team, this model builds upon the pre-trained Taiyi-Stable-Diffusion-1B-Chinese-v0.1 model and further fine-tuned it on anime-specific data. Model inputs and outputs Inputs Textual Prompts**: The model takes in textual prompts that describe the desired image content, using natural language. Outputs Generated Images**: The model outputs high-quality, photorealistic images that match the provided textual prompts. Capabilities The Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1 model demonstrates strong capabilities in generating Chinese-inspired anime-style illustrations. The model is able to capture intricate details, realistic textures, and vibrant colors in the generated images. Additionally, the model retains the powerful generative abilities of the original Stable Diffusion model, allowing it to handle a wide range of prompts beyond just anime-themed content. What can I use it for? This model can be particularly useful for artists, designers, and content creators who want to generate high-quality Chinese anime-style illustrations. The model can be used to ideate new characters, scenes, and narratives, or to create visual assets for games, animations, and other multimedia projects. The open-source nature of the model also makes it accessible for educational and research purposes, enabling further exploration and development of text-to-image AI capabilities. Things to try One interesting aspect of the Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1 model is its ability to seamlessly handle both Chinese and English prompts. This allows users to experiment with bilingual or multilingual prompts, potentially leading to unique and unexpected results. Additionally, users can try leveraging the model's strengths in generating anime-style art by incorporating detailed, descriptive prompts that capture the desired aesthetic and narrative elements.
Updated Invalid Date
🔎
Taiyi-Stable-Diffusion-1B-Chinese-v0.1
428
Taiyi-Stable-Diffusion-1B-Chinese-v0.1 is the first open-source Chinese Stable Diffusion model, developed by IDEA-CCNL. It was trained on 20M filtered Chinese image-text pairs and can generate high-quality images from Chinese text prompts. This model builds on the success of the original Stable Diffusion model, adding support for the Chinese language. Similar models include stable-diffusion-2 and stable-diffusion, which are also text-to-image diffusion models, but focused on generating images from English prompts. The stable-diffusion-xl-refiner-1.0 model adds a refinement step to improve the quality of the generated images. Model inputs and outputs Inputs Text prompt**: A Chinese text description of the image you want to generate. Outputs Generated image**: A high-quality, photorealistic image that matches the provided text prompt. Capabilities Taiyi-Stable-Diffusion-1B-Chinese-v0.1 can generate a wide variety of Chinese-themed images, from landscapes and cityscapes to portraits and abstract compositions. The model has shown strong performance on generating coherent and realistic images from Chinese text prompts. What can I use it for? This model can be used for a variety of creative and artistic applications, such as generating concept art, illustrations, and background images for Chinese-language media or products. It could also be used in educational settings to help students visualize concepts or explore their creativity. With the growing demand for Chinese-language AI tools, this model could be a valuable resource for developers and researchers working on projects involving Chinese language and culture. Things to try One interesting thing to try with this model is generating images that blend elements of traditional Chinese art and culture with more modern or fantastical themes. For example, you could try prompts that combine traditional Chinese landscapes with futuristic cityscapes, or depictions of mythical Chinese creatures in contemporary settings. Experimenting with different styles and subject matter can help uncover the model's capabilities and limitations.
Updated Invalid Date
✨
Taiyi-Stable-Diffusion-1B-Chinese-EN-v0.1
104
Taiyi-Stable-Diffusion-1B-Chinese-EN-v0.1 is a bilingual (Chinese and English) Stable Diffusion model developed by IDEA-CCNL. It was trained on a dataset of 20M filtered Chinese image-text pairs, expanding the capabilities of the popular Stable Diffusion model to generate high-quality text-to-image content in both Chinese and English. Similar models include Taiyi-Stable-Diffusion-1B-Chinese-v0.1, which focuses solely on Chinese text-to-image generation, and Taiyi-Stable-Diffusion-XL-3.5B, a larger 3.5B parameter model that further enhances the text-to-image capabilities. Model inputs and outputs Inputs Text prompt:** A textual description of the desired image to generate. Outputs Generated image:** A high-quality image (512x512 pixels) that matches the input text prompt. Capabilities Taiyi-Stable-Diffusion-1B-Chinese-EN-v0.1 is capable of generating photorealistic images across a wide variety of genres and subjects, including fantasy, architecture, portraits, and more. The model's bilingual capabilities allow for seamless text-to-image generation in both Chinese and English, making it a valuable tool for a diverse range of users. What can I use it for? This model can be used for a variety of creative and professional applications, such as: Content creation:** Generating unique images for blog posts, social media, or other digital content. Art and design:** Creating concept art, illustrations, and other visual assets for design projects. Education and research:** Exploring the capabilities of text-to-image AI models and studying their potential applications. Prototyping and ideation:** Quickly generating visual ideas and concepts to aid in the development process. Things to try Experiment with different prompts, both in Chinese and English, to see the range of images the model can generate. Try combining specific details (e.g., "a detailed portrait of a woman with long, flowing blue hair") with more abstract concepts (e.g., "a surreal, dreamlike landscape") to explore the model's flexibility and imagination.
Updated Invalid Date
stable-diffusion
108.9K
Stable Diffusion is a latent text-to-image diffusion model capable of generating photo-realistic images given any text input. Developed by Stability AI, it is an impressive AI model that can create stunning visuals from simple text prompts. The model has several versions, with each newer version being trained for longer and producing higher-quality images than the previous ones. The main advantage of Stable Diffusion is its ability to generate highly detailed and realistic images from a wide range of textual descriptions. This makes it a powerful tool for creative applications, allowing users to visualize their ideas and concepts in a photorealistic way. The model has been trained on a large and diverse dataset, enabling it to handle a broad spectrum of subjects and styles. Model inputs and outputs Inputs Prompt**: The text prompt that describes the desired image. This can be a simple description or a more detailed, creative prompt. Seed**: An optional random seed value to control the randomness of the image generation process. Width and Height**: The desired dimensions of the generated image, which must be multiples of 64. Scheduler**: The algorithm used to generate the image, with options like DPMSolverMultistep. Num Outputs**: The number of images to generate (up to 4). Guidance Scale**: The scale for classifier-free guidance, which controls the trade-off between image quality and faithfulness to the input prompt. Negative Prompt**: Text that specifies things the model should avoid including in the generated image. Num Inference Steps**: The number of denoising steps to perform during the image generation process. Outputs Array of image URLs**: The generated images are returned as an array of URLs pointing to the created images. Capabilities Stable Diffusion is capable of generating a wide variety of photorealistic images from text prompts. It can create images of people, animals, landscapes, architecture, and more, with a high level of detail and accuracy. The model is particularly skilled at rendering complex scenes and capturing the essence of the input prompt. One of the key strengths of Stable Diffusion is its ability to handle diverse prompts, from simple descriptions to more creative and imaginative ideas. The model can generate images of fantastical creatures, surreal landscapes, and even abstract concepts with impressive results. What can I use it for? Stable Diffusion can be used for a variety of creative applications, such as: Visualizing ideas and concepts for art, design, or storytelling Generating images for use in marketing, advertising, or social media Aiding in the development of games, movies, or other visual media Exploring and experimenting with new ideas and artistic styles The model's versatility and high-quality output make it a valuable tool for anyone looking to bring their ideas to life through visual art. By combining the power of AI with human creativity, Stable Diffusion opens up new possibilities for visual expression and innovation. Things to try One interesting aspect of Stable Diffusion is its ability to generate images with a high level of detail and realism. Users can experiment with prompts that combine specific elements, such as "a steam-powered robot exploring a lush, alien jungle," to see how the model handles complex and imaginative scenes. Additionally, the model's support for different image sizes and resolutions allows users to explore the limits of its capabilities. By generating images at various scales, users can see how the model handles the level of detail and complexity required for different use cases, such as high-resolution artwork or smaller social media graphics. Overall, Stable Diffusion is a powerful and versatile AI model that offers endless possibilities for creative expression and exploration. By experimenting with different prompts, settings, and output formats, users can unlock the full potential of this cutting-edge text-to-image technology.
Updated Invalid Date