Dataautogpt3

Models by this creator

🏋️

OpenDalleV1.1

dataautogpt3

Total Score

474

OpenDalleV1.1 is a text-to-image generation model developed by dataautogpt3. It builds upon the capabilities of previous DALL-E models, showcasing exceptional prompt adherence and semantic understanding. Compared to base SDXL, OpenDalleV1.1 seems to be a step above in terms of prompt comprehension, edging closer to the abilities of DALL-E 3. Similar models like open-dalle-v1.1 and proteus-v0.1 also demonstrate advancements in this area, with proteus-v0.1 further refining prompt adherence and stylistic capabilities. Model inputs and outputs OpenDalleV1.1 is a text-to-image generation model that takes textual prompts as input and generates corresponding images as output. The model can handle a wide range of prompts, from describing detailed scenes and characters to more abstract concepts. Inputs Textual prompts**: Detailed descriptions of the desired image, including elements like subject, style, mood, and composition. Outputs Generated images**: High-quality, visually striking images that reflect the provided textual prompts. Capabilities OpenDalleV1.1 demonstrates impressive capabilities in translating textual inputs into detailed and cohesive visual outputs. The model can generate images across a diverse range of genres, from realistic scenes to fantastical and imaginative concepts. It shows a strong understanding of complex prompts, effectively capturing the intended mood, style, and composition. What can I use it for? OpenDalleV1.1 can be a valuable tool for a variety of applications, such as: Content creation**: Generating unique, on-demand visuals for blog posts, social media, or other digital content. Conceptual design**: Exploring and visualizing ideas, concepts, and prototypes in fields like art, fashion, and product design. Personalized imagery**: Creating custom images based on individual preferences or interests. Rapid prototyping**: Quickly generating visual assets for product development, user interface designs, or other iterative design processes. Things to try One interesting aspect of OpenDalleV1.1 is its ability to generate images that blend realistic and fantastical elements. By incorporating prompts that combine specific details with more imaginative components, users can explore the model's capacity to create visually striking and thought-provoking artworks. Experimenting with different prompt structures and exploring the model's response to various styles and subject matter can uncover its full potential.

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Updated 5/28/2024

📊

OpenDalle

dataautogpt3

Total Score

129

OpenDalle is an AI model developed by dataautogpt3 that can generate images based on text prompts. It is a text-to-image generation model that aims to reproduce the impressive results of OpenAI's DALL-E model with an open-source alternative. OpenDalle is a step above the base SDXL model and closer to DALL-E 3 in terms of prompt comprehension and adherence. The latest version, OpenDalleV1.1, showcases exceptional prompt adherence and semantic understanding, generating high-quality images that closely match the provided text prompts. Compared to earlier versions, OpenDalleV1.1 has improved realism and artistic flair, producing visuals that capture the essence of the prompts with more vivid detail and creative flourish. Model inputs and outputs Inputs Text prompts:** The model takes in text descriptions or prompts that provide instructions for the desired image generation. Outputs Generated images:** OpenDalle outputs images that correspond to the provided text prompts. The generated visuals can range from photorealistic representations to surreal, artistic interpretations of the input text. Capabilities OpenDalle demonstrates impressive capabilities in generating diverse and visually compelling images from a wide variety of text prompts. The model can produce detailed and imaginative visuals, spanning from realistic scenes to fantastical, dream-like compositions. For example, the model can generate images of a "panther head coming out of smoke, dark, moody, detailed, shadows" or a "manga from the early 1990s, characterized by its surreal aesthetic." What can I use it for? OpenDalle can be a powerful tool for creative projects, such as illustrations, concept art, and visual storytelling. The model's ability to translate text into vivid, imaginative imagery can be leveraged in various applications, including but not limited to: Generating artwork and visuals for use in design, marketing, and entertainment Assisting with ideation and concept development for creative projects Providing visual references and inspiration for artists and designers Experimenting with and exploring the intersection of language and visual representation While OpenDalle offers impressive capabilities, users should be aware of the model's limitations and potential biases, as described in the OpenDalleV1.1 model card. Things to try One interesting aspect of OpenDalle is its ability to blend different artistic styles and genres in the generated images. By incorporating prompts that reference specific illustrators, aesthetic movements, or creative techniques, users can explore the model's capacity to synthesize diverse visual elements into cohesive, visually engaging compositions. For example, prompts that combine references to "artgerm" (a renowned digital artist), "comic style," and "mythical seascape" can result in striking, surreal images that blend comic book aesthetics with fantastical, dreamlike elements. Experimenting with such prompts can help uncover the model's versatility and unlock new creative possibilities.

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Updated 5/28/2024

ProteusV0.2

dataautogpt3

Total Score

120

ProteusV0.2 is an AI model developed by dataautogpt3 that excels at generating high-quality, detailed images from text prompts. It is a refinement of the OpenDalleV1.1 model, further improving prompt adherence and stylistic capabilities. Compared to similar models like OpenDalleV1.1 and Counterfeit-V2.0, ProteusV0.2 demonstrates more accurate interpretation of prompts and a wider range of stylistic outputs. Model inputs and outputs ProteusV0.2 is a text-to-image AI model that takes natural language prompts as input and generates corresponding images. The model has shown impressive results in capturing the essence of prompts and producing highly detailed, visually striking outputs. Inputs Text prompts describing the desired image, including details about subjects, styles, and attributes Outputs High-resolution, photorealistic images that match the provided text prompts Images in a variety of styles, from realistic to impressionistic and surreal Capabilities ProteusV0.2 has demonstrated excellent capabilities in interpreting complex text prompts and generating corresponding images with a high degree of detail and accuracy. The model excels at producing visually stunning artwork in diverse genres, from fantastical creatures to detailed portraits and scenes. What can I use it for? ProteusV0.2 can be a valuable tool for a wide range of applications, including: Concept art and visual development**: Generate striking visuals to support creative projects, such as game development, film production, or product design. Illustration and digital art**: Create unique, high-quality illustrations and digital artwork without the need for manual drawing skills. Marketing and advertising**: Produce eye-catching visuals for social media, websites, and other marketing materials. Educational and research purposes**: Use the model to explore the intersection of language and visual representation, or to create educational materials. Things to try One interesting aspect of ProteusV0.2 is its ability to interpret and adhere to prompts in a nuanced way, capturing subtle details and stylistic elements. Try experimenting with prompts that incorporate specific artistic references, such as the styles of famous painters or illustrators. You can also explore the model's capabilities in generating detailed, photorealistic images by including detailed descriptors in your prompts.

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Updated 5/28/2024

🐍

TempestV0.1

dataautogpt3

Total Score

98

The TempestV0.1 Initiative is a powerhouse in image generation, leveraging an unparalleled dataset of over 6 million images. The collection's vast scale, with resolutions from 1400x2100 to 4800x7200, encompasses 200GB of high-quality content. With a groundbreaking 3 million iterations in its training cycle, TempestV0.1 underscores the rigorous effort input by its creator. This training intensity notably eclipses that of all other contemporary models. TempestV0.1 shatters the conventional limits of image generation, particularly in delivering unparalleled detail and texture. The ProteusV0.2 model serves as a sophisticated enhancement over OpenDalleV1.1, leveraging its core functionalities to deliver superior outcomes. Key areas of advancement include heightened responsiveness to prompts and augmented creative capacities. To achieve this, it was fine-tuned using approximately 220,000 GPTV captioned images from copyright-free stock images (with some anime included), which were then normalized. Additionally, DPO (Direct Preference Optimization) was employed through a collection of 10,000 carefully selected high-quality, AI-generated image pairs. Model Inputs and Outputs TempestV0.1 accepts a wide range of text prompts to generate high-quality, detailed images. The model demonstrates exceptional capabilities in producing photorealistic food imagery, cinematic sci-fi scenes, and intricate character portraits. Inputs Detailed text prompts**: The model responds well to prompts that provide specific details about the desired image, such as the subject, style, lighting, materials, and other visual elements. Artistic descriptions**: In addition to realistic prompts, the model can also interpret more abstract, artistic text to generate compelling, visually striking images. Outputs High-resolution images**: The model can output images at resolutions up to 4800x7200, delivering exceptional detail and clarity. Diverse visual styles**: The model is adept at generating images in a wide range of styles, from photorealistic to fantastical and surreal. Intricate textures and materials**: The model excels at rendering complex textures, such as metal, glass, and clothing, with a high level of realism. Capabilities TempestV0.1 demonstrates impressive capabilities in generating high-quality, detailed images across a variety of domains. The model's exceptional performance in photorealistic food imagery is showcased in the example of a "piece of fried grilled meat, with splashes of ketchup and mustard sauce, and exceptional shallow depth-of-field capabilities." Additionally, the model's ability to create cinematic sci-fi scenes is exemplified by the "epic scene of a massive dragon crashing through desert dunes." The model also showcases its prowess in producing intricate character portraits, as seen in the example of a "Super Closeup Portrait, action shot, Profoundly dark whitish meadow, glass flowers, Stains, space grunge style, Jeanne d'Arc wearing White Olive green used styled Cotton frock, Wielding thin silver sword, Sci-fi vibe, dirty, noisy, Vintage monk style, very detailed, hd, cinematic, 2k." What can I use it for? The TempestV0.1 model can be a powerful tool for a variety of applications, particularly in the field of digital art and content creation. Creators and artists can leverage the model's capabilities to generate high-quality, visually striking images for use in illustrations, concept art, product design, and various other creative endeavors. Additionally, the model's impressive performance in photorealistic imagery makes it a potential asset for industries such as food photography, product visualization, and even architectural visualization. Businesses and professionals in these fields may find the TempestV0.1 model to be a valuable resource for enhancing their visual content and optimizing their workflows. Things to try One interesting aspect of the TempestV0.1 model is its ability to generate images with a unique sense of atmosphere and mood. By carefully crafting prompts that evoke a particular emotional or environmental tone, users can create images that are not only visually striking but also convey a deeper, more immersive narrative. For example, experimenting with prompts that incorporate elements of mystery, tension, or wonder can result in images that captivate the viewer and spark their imagination. Similarly, exploring prompts that blend realistic and fantastical elements can lead to the creation of distinctive, genre-blending visuals that challenge conventional boundaries. Another intriguing avenue to explore with the TempestV0.1 model is the potential for combining its capabilities with other AI-powered tools or techniques, such as 3D modeling, animation, or interactive experiences. By integrating the model's image generation prowess with complementary technologies, users may discover new and innovative ways to push the boundaries of visual storytelling and interactive content.

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Updated 5/28/2024

⛏️

ProteusV0.3

dataautogpt3

Total Score

84

ProteusV0.3: The Anime Update Proteus has been advanced with an additional 200,000 anime-related images, further refined by a selection of 15,000 aesthetically pleasing images, enhancing its lighting effects significantly. This upgrade preserves its understanding of prompts and maintains its photorealistic and stylistic capabilities without suffering from catastrophic forgetting. Model inputs and outputs Proteus V0.3 accepts a wide range of prompts, from detailed anime character descriptions to surreal, nightmare-inspired landscapes. The model can generate high-quality, photorealistic images that capture the essence of the prompt, with impressive attention to detail and stylistic flair. Inputs Detailed text prompts describing anime characters, scenes, and environments Prompts incorporating artistic elements like "best quality", "HD", and "aesthetic" Prompts exploring darker, more unsettling themes like "body horror", "nightmarish", and "bio-mechanical" Outputs Stunning, photorealistic anime-style character portraits Captivating, surreal landscapes and environments Unsettling, nightmare-inspired amalgamations of organic and mechanical elements Capabilities Proteus V0.3 demonstrates a significant leap forward in its ability to understand and translate intricate text prompts into visually striking images. The model excels at capturing the essence of anime-inspired characters and scenes, infusing them with a heightened sense of realism and cinematic flair. One of the model's standout capabilities is its handling of dark, unsettling themes. Proteus V0.3 can seamlessly blend organic and mechanical elements, creating truly nightmarish visions that push the boundaries of what is possible in text-to-image generation. What can I use it for? Proteus V0.3 is an excellent choice for artists, illustrators, and creative professionals looking to bring their anime-inspired ideas to life. The model's versatility allows for a wide range of applications, from character design and concept art to worldbuilding and visual development. Additionally, the model's ability to explore darker, more surreal themes makes it a valuable tool for horror enthusiasts, indie game developers, and anyone seeking to push the boundaries of visual storytelling. Things to try Experiment with blending Proteus V0.3's anime-inspired capabilities with other artistic styles and themes. Try prompts that combine the model's strengths in character portrayal with elements of surrealism, sci-fi, or gothic horror. Explore the limits of the model's ability to capture unsettling, nightmarish visions while maintaining a sense of visual cohesion and artistic flair. Additionally, consider pairing Proteus V0.3 with other Proteus models or the OpenDalleV1.1 model to create even more diverse and compelling visual outputs.

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Updated 5/28/2024

🛸

PixArt-Sigma-900M

dataautogpt3

Total Score

72

PixArt-Sigma-900M: Enhanced Text-to-Image Model The PixArt-Sigma-900M is a text-to-image generation model developed by dataautogpt3. It is an enhanced version of the PixArt Sigma architecture, capable of generating high-quality, detailed pixel art and scene images from text prompts. Similar models include the ProteusV0.2 and All-In-One-Pixel-Model, which also focus on generating pixel art and styled images. The PixArt-Sigma-XL-2-1024-MS model from PixArt-alpha is another related model that uses a transformer-based approach for text-to-image generation. Model inputs and outputs The PixArt-Sigma-900M model takes text prompts as input and generates corresponding pixel art or scene images as output. The model has been trained on a large dataset of pixel art and styled images, allowing it to produce highly detailed and visually striking results. Inputs Text prompts**: The model accepts text prompts that describe the desired image, such as "a pixel art silhouette of an anime space-themed girl in a space-punk steampunk style, lying in her bed by the window of a spaceship, smoking, with a rustic feel." Outputs Pixel art and scene images**: The model generates high-quality pixel art and scene images that match the provided text prompts. The images can range from detailed character portraits to complex, multi-layered environments. Capabilities The PixArt-Sigma-900M model excels at generating visually appealing and intricate pixel art and scene images from text prompts. It can capture a wide range of styles, from anime and space-themed imagery to dark, moody atmospheres. The model's attention to detail and ability to translate text into cohesive visual compositions make it a powerful tool for artists, designers, and creative professionals. What can I use it for? The PixArt-Sigma-900M model can be a valuable asset for various creative projects and applications, such as: Generating concept art and illustrations**: The model can be used to create pixel art and scene images for use in concept art, game development, or other visual media. Enhancing design and creative workflows**: The model can be integrated into design tools or creative applications to assist designers and artists in rapid prototyping and ideation. Educational and training purposes**: The model can be used in educational settings or as part of training materials to demonstrate the capabilities of text-to-image generation and pixel art creation. Things to try Experiment with the PixArt-Sigma-900M model by providing a wide range of text prompts, from specific character descriptions to abstract, imaginative scenes. Try prompts that combine different styles, genres, or themes to see how the model handles more complex compositions. Additionally, consider using the model in combination with other image editing or post-processing tools to refine and enhance the generated outputs.

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Updated 8/23/2024

👨‍🏫

ProteusV0.4

dataautogpt3

Total Score

68

ProteusV0.4: The Style Update This update to the Proteus model enhances its stylistic capabilities, similar to the approach taken by Midjourney, rather than advancing its prompt comprehension. The methods used do not infringe on any copyrighted material. Proteus serves as a sophisticated enhancement over OpenDalleV1.1, leveraging its core functionalities to deliver superior outcomes. Key areas of advancement include heightened responsiveness to prompts and augmented creative capacities. To achieve this, Proteus was fine-tuned using approximately 220,000 GPTV captioned images from copyright-free stock images (with some anime included), which were then normalized. Additionally, DPO (Direct Preference Optimization) was employed through a collection of 10,000 carefully selected high-quality, AI-generated image pairs. In pursuit of optimal performance, numerous LORA (Low-Rank Adaptation) models are trained independently before being selectively incorporated into the principal model via dynamic application methods. These techniques involve targeting particular segments within the model while avoiding interference with other areas during the learning phase. Consequently, Proteus exhibits marked improvements in portraying intricate facial characteristics and lifelike skin textures, all while sustaining commendable proficiency across various aesthetic domains, notably surrealism, anime, and cartoon-style visualizations. Inputs Textual prompts describing the desired image Negative prompts to exclude certain elements Outputs High-quality, visually stunning images generated based on the input prompts Capabilities Proteus V0.4 showcases enhanced stylistic capabilities compared to previous versions, allowing for the creation of a wide range of visually appealing images across various genres, including surrealism, anime, and cartoon-style art. The model demonstrates the ability to generate intricate facial details and lifelike skin textures, as well as striking lighting effects and atmospheric elements. What can I use it for? The ProteusV0.4 model can be leveraged for a variety of creative projects, such as: Concept art and illustrations for games, films, or books Generative art installations and experiments Social media content creation Visualizing ideas and abstract concepts Things to try Consider experimenting with different prompt structures and keywords to explore the full range of Proteus V0.4's stylistic capabilities. Try incorporating artistic styles, genres, or specific visual elements to see how the model responds and generates unique, visually striking imagery.

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Updated 5/28/2024

🛠️

Proteus-RunDiffusion

dataautogpt3

Total Score

59

Introducing Proteus-RunDiffusion Proteus-RunDiffusion is a sophisticated text-to-image AI model developed by dataautogpt3 that builds upon the core functionality of OpenDalleV1.1. Key areas of advancement include heightened responsiveness to prompts and augmented creative capacities. Model inputs and outputs Proteus-RunDiffusion takes text prompts as input and generates high-quality, visually striking images in response. The model demonstrates a strong understanding of prompt instructions, translating them into detailed, photorealistic or stylized renditions across a wide range of genres and aesthetics. Inputs Text prompts**: Descriptions of the desired image, which can incorporate various artistic styles, subjects, and creative elements. Outputs Images**: Unique, AI-generated visual representations that capture the essence of the input prompt. Capabilities Proteus-RunDiffusion exhibits marked improvements in portraying intricate facial characteristics, lifelike skin textures, and a commendable proficiency across diverse aesthetic domains, including surrealism, anime, and cartoon-style visualizations. The model's capabilities are showcased through the varied examples in the provided description, ranging from cinematic scenes to fantastical creatures and stylized portraits. What can I use it for? Proteus-RunDiffusion can be utilized for a wide range of creative projects, from conceptual art and digital illustrations to visual storytelling and imaginative worldbuilding. Its ability to blend realism with stylistic flair makes it a valuable tool for hobbyists, artists, and designers seeking to bring their creative visions to life. Things to try Experiment with prompts that combine various artistic styles, subjects, and descriptive elements to see the breadth of Proteus-RunDiffusion's capabilities. Additionally, consider exploring the model's settings and parameters, such as adjusting the CFG scale, number of steps, and sampling methods, to achieve different levels of detail and aesthetic outcomes.

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Updated 5/28/2024