dreamlike-photoreal-1.0

Maintainer: dreamlike-art

Total Score

101

Last updated 5/27/2024

🖼️

PropertyValue
Run this modelRun on HuggingFace
API specView on HuggingFace
Github linkNo Github link provided
Paper linkNo paper link provided

Create account to get full access

or

If you already have an account, we'll log you in

Model overview

The dreamlike-photoreal-1.0 model is a photorealistic Stable Diffusion 1.5 model fine-tuned on high quality photos, made by dreamlike.art. This model can be used to generate images that have a realistic, photographic appearance. It was trained on a dataset of high-quality photos, allowing it to produce images with more realistic details and textures compared to the original Stable Diffusion 1.5 model.

Compared to similar models like Dreamlike Photoreal 2.0 and PixArt-XL-2-1024-MS, the dreamlike-photoreal-1.0 model focuses specifically on photorealistic generation, without the anime or artistic style capabilities of some other models. It is designed to produce natural, realistic images based on text prompts.

Model inputs and outputs

Inputs

  • Text prompt: A text description of the desired image, similar to prompts used for the original Stable Diffusion model.
  • Aspect ratio: The dreamlike-photoreal-1.0 model performs better with non-square aspect ratios, such as 3:4 for portraits or 16:9 for landscapes.

Outputs

  • Image: The model will generate a photorealistic image that matches the provided text prompt. The output image will be 512x512 pixels in size.

Capabilities

The dreamlike-photoreal-1.0 model excels at generating high-quality, photorealistic images based on text prompts. It can produce detailed, natural-looking scenes with realistic textures and lighting. For example, the model can generate images of landscapes, buildings, objects, and even people that appear to be photographs.

What can I use it for?

The dreamlike-photoreal-1.0 model can be used for a variety of creative and artistic applications, such as:

  • Generating photographic reference images for artists and designers
  • Creating realistic visuals for games, films, or other multimedia projects
  • Exploring new ideas and concepts through photorealistic image generation
  • Enhancing existing images through inpainting or modification

However, it's important to note that the model is licensed under a modified CreativeML OpenRAIL-M license, which restricts commercial use on websites, apps, or other platforms where you earn revenue or donations. If you wish to use the model commercially, you'll need to contact the maintainers at [email protected].

Things to try

One interesting aspect of the dreamlike-photoreal-1.0 model is its ability to handle non-square aspect ratios. Try experimenting with different aspect ratios in your prompts, such as 3:4 for portraits or 16:9 for landscapes, to see how the model handles the composition and framing of the generated images.

Additionally, you can try incorporating specific details or elements into your prompts, such as references to lighting, materials, or specific objects, to see how the model incorporates those elements into the photorealistic output.



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

👀

dreamlike-photoreal-2.0

dreamlike-art

Total Score

1.6K

dreamlike-photoreal-2.0 is a photorealistic text-to-image model based on Stable Diffusion 1.5, created by dreamlike.art. It is designed to generate highly realistic and detailed images from text prompts. This model builds upon the capabilities of the original Stable Diffusion model, offering several enhancements to improve the quality and realism of the generated images. Similar models include stable-diffusion-2 from Stability AI, which is a more advanced version of the Stable Diffusion model, as well as dreamlike-photoreal and real-esrgan, which also focus on generating photorealistic images. Model inputs and outputs The dreamlike-photoreal-2.0 model takes text prompts as input and generates photorealistic images as output. The model was trained on a large dataset of high-quality images, allowing it to produce highly detailed and realistic-looking images from a wide range of prompts. Inputs Text prompt**: A text description of the image you want to generate, such as "a church in the middle of a field of crops, bright cinematic lighting". Outputs Image**: A high-resolution (up to 768x768 pixels) photorealistic image generated based on the input text prompt. Capabilities The dreamlike-photoreal-2.0 model is capable of generating a wide variety of photorealistic images, from landscapes and architecture to portraits and fantasy scenes. The model is particularly adept at rendering detailed textures, lighting, and other features that contribute to a realistic and immersive visual experience. One of the key capabilities of this model is its ability to generate images that have a cinematic, high-quality appearance. By incorporating elements like bright lighting and careful composition, the model can produce images that feel like they could be from a professional film or photography shoot. What can I use it for? The dreamlike-photoreal-2.0 model can be used for a variety of creative and commercial applications, such as: Art and design**: Generate unique and visually stunning images for use in art, graphic design, and other creative projects. Visualization and prototyping**: Create realistic visual representations of products, environments, or concepts to aid in the design and development process. Entertainment and media**: Produce high-quality images for use in films, television shows, video games, and other media. Commercial applications**: Generate product images, architectural visualizations, and other photorealistic content for use in marketing and advertising. You can use this model for free on the dreamlike.art platform. Things to try When using the dreamlike-photoreal-2.0 model, try experimenting with different aspect ratios and resolutions to see how it affects the generated images. The model performs best with non-square aspect ratios and higher resolutions, such as 768x768 pixels or 1024x768 pixels. Additionally, you can try incorporating the word "photo" into your prompts to help the model produce even more realistic-looking images. The model was trained on high-quality photographic data, so this can help it better capture the nuances of photorealistic imagery.

Read more

Updated Invalid Date

🤖

dreamlike-diffusion-1.0

dreamlike-art

Total Score

1.0K

Dreamlike Diffusion 1.0 is a Stable Diffusion 1.5 model fine-tuned by dreamlike.art on high-quality art. It produces dreamlike, surreal images with a distinctive visual style. The model can be used alongside other Dreamlike models like Dreamlike Photoreal 2.0 and Dreamlike Anime 1.0 to generate a variety of artistic outputs. Model inputs and outputs Dreamlike Diffusion 1.0 uses text prompts as inputs to generate unique images. The model was trained on high-quality art, so it excels at producing dreamlike, surreal visuals with a distinctive aesthetic. Outputs are high-resolution images in a variety of aspect ratios. Inputs Text prompt**: A description of the desired image, which can include details about the scene, style, and subject matter. Outputs High-resolution image**: The generated image, which can be in different aspect ratios like 2:3, 3:2, 9:16, or 16:9 for portrait or landscape orientations. Capabilities Dreamlike Diffusion 1.0 can generate a wide range of surreal, dreamlike images with a distinctive visual style. The model performs well on prompts that call for fantastical, imaginative scenes, as well as those that blend realism with more abstract or stylized elements. Users have found success combining the model with Dreamlike Photoreal 2.0 and Dreamlike Anime 1.0 to explore different artistic directions. What can I use it for? Dreamlike Diffusion 1.0 is well-suited for creative projects that require imaginative, visually striking imagery. This could include album covers, book illustrations, concept art, or promotional materials. The model's unique aesthetic makes it valuable for those looking to add a touch of the surreal or fantastical to their work. Users can also experiment with combining it with other Dreamlike models to expand their creative possibilities. Things to try Try using the dreamlikeart keyword in your prompts to further enhance the model's distinctive style. Non-square aspect ratios can also produce interesting results, so experiment with portrait and landscape orientations. Higher resolutions like 640x640px, 512x768px, or 768x512px may yield more detailed outputs as well.

Read more

Updated Invalid Date

dreamlike-anime-1.0

dreamlike-art

Total Score

232

dreamlike-anime-1.0 is a high-quality anime model developed by dreamlike.art. It can generate detailed, anime-style images based on text prompts. The model has been trained on a large dataset of high-quality anime images, allowing it to produce convincing and aesthetically pleasing results. Compared to similar models like Dreamlike Diffusion 1.0 and Dreamlike Photoreal 2.0, dreamlike-anime-1.0 is specifically optimized for creating anime-style artwork. It can capture the distinct visual characteristics of anime, such as exaggerated features, unique color palettes, and dynamic poses. Model inputs and outputs dreamlike-anime-1.0 is a text-to-image diffusion model, meaning it can generate images based on textual prompts. Users can provide detailed descriptions of the desired artwork, and the model will attempt to create a corresponding image. Inputs Textual prompts**: Users can input a description of the desired image, such as "1girl, cute, masterpiece, best quality, green hair, sweater, looking at viewer, outdoors, night, turtleneck". Outputs High-quality anime images**: The model will generate an image that matches the provided textual prompt, with a focus on creating detailed, anime-style artwork. Capabilities dreamlike-anime-1.0 can create a wide variety of anime-themed images, from character portraits to more complex scenes. The model has been trained to capture the nuances of anime art, including expressive facial features, dynamic poses, and vibrant color palettes. The model performs particularly well when users leverage specific tags and prompts, such as "photo anime, masterpiece, high quality, absurdres". This helps guide the model towards generating high-quality, aesthetically pleasing results. What can I use it for? dreamlike-anime-1.0 can be a valuable tool for artists, designers, and content creators who need to generate anime-style artwork. It can be used to create concept art, illustrations, backgrounds, and more for a variety of projects, such as animations, games, or web content. Additionally, the model's ability to produce high-quality images from text prompts makes it useful for rapid prototyping, mood boards, and visual exploration. Users can experiment with different ideas and quickly generate visual concepts to inform their creative process. Things to try One interesting aspect of dreamlike-anime-1.0 is its ability to generate images with a distinct anime aesthetic while still maintaining a sense of photorealism. By using prompts that incorporate both anime and photographic elements, users can create striking, hybrid-style images that blend the best of both worlds. Additionally, the model's support for non-square aspect ratios, such as 704x832 or 832x704, can be leveraged to create artwork tailored for different applications, like websites, social media, or print materials. Overall, dreamlike-anime-1.0 is a powerful tool for creating high-quality, anime-inspired artwork. Its versatility and attention to detail make it a valuable asset for a wide range of creative projects.

Read more

Updated Invalid Date

📈

Realistic_Vision_V2.0

SG161222

Total Score

313

The Realistic_Vision_V2.0 model, created by SG161222, is an advanced text-to-image generation model designed to produce highly realistic and photorealistic images. It builds upon the previous version, Realistic_Vision_V1.4, and introduces several improvements to enhance the generation quality and reduce artifacts. The model is available on Mage.Space, which is the main sponsor, and the creator encourages users to support them directly on Boosty. For best results, it is recommended to use the model in conjunction with the stabilityai/sd-vae-ft-mse-original VAE model. Model inputs and outputs Inputs Prompt**: A detailed text description of the desired image, including subjects, settings, and photographic details. Negative Prompt**: A text description of elements to be avoided or minimized in the generated image, such as specific visual artifacts or undesirable features. Generation Parameters**: Various settings that control the sampling method, configuration scale, and upscaling process. Outputs Image**: A high-quality, photorealistic image generated based on the provided prompt and parameters. Capabilities The Realistic_Vision_V2.0 model excels at generating detailed, realistic portraits and scenes. It can capture a wide range of subjects, from close-up faces to full-body figures, with a focus on accurate skin textures, lighting, and environmental elements. The model's ability to handle complex prompts and generate high-resolution outputs makes it a powerful tool for various creative applications, such as concept art, product visualization, and photorealistic illustration. What can I use it for? The Realistic_Vision_V2.0 model can be a valuable asset for artists, designers, and content creators who need to generate high-quality, photorealistic images. It can be used for tasks such as creating concept art for games or films, designing product visualizations, and generating realistic illustrations for marketing or editorial purposes. The model's versatility also makes it suitable for personal projects, such as creating unique digital art or enhancing existing photographs. Things to try One interesting aspect of the Realistic_Vision_V2.0 model is its ability to handle detailed photographic prompts. By incorporating specific camera settings, lighting conditions, and film grain, users can achieve a unique, cinematic look in their generated images. Experimenting with different combinations of these elements can lead to a wide range of photorealistic outcomes, allowing for a diverse range of creative expression.

Read more

Updated Invalid Date