Shakker-labs
Models by this creator
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AWPortrait-FL
331
AWPortrait-FL is a finetuned version of the AWPortrait-XL model, trained by DynamicWang at AWPlanet. It is trained on the FLUX.1-dev dataset and nearly 2,000 high-quality fashion photography photos. Compared to the original model, AWPortrait-FL has notable improvements in composition, detail, and realism, with more delicate and realistic skin and textures. Model Inputs and Outputs Inputs Text prompt describing the desired portrait image Outputs A high-quality, photorealistic portrait image based on the input text prompt Capabilities AWPortrait-FL can generate highly detailed and aesthetically pleasing portrait images from text descriptions. The model has a strong grasp of composition, lighting, and rendering realistic skin and fabrics. It is particularly well-suited for fashion and portrait photography applications. What Can I Use It For? AWPortrait-FL can be used to create custom, high-quality portrait images for a variety of applications, such as fashion editorials, e-commerce product shots, and creative projects. The model's ability to render realistic yet stylized portraits makes it a valuable tool for content creators, designers, and businesses looking to elevate their visual assets. Things to Try Experiment with detailed, descriptive prompts that capture the desired mood, lighting, and compositional elements of the portrait. Try prompts that combine specific style references (e.g., "high-fashion editorial", "minimalist", "chiaroscuro") with detailed descriptions of the subject's appearance and setting. The model's strength lies in its ability to translate these nuanced prompts into compelling, photorealistic images.
Updated 9/19/2024
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FLUX.1-dev-ControlNet-Union-Pro
203
The FLUX.1-dev-ControlNet-Union-Pro is a unified ControlNet model for the FLUX.1-dev AI model, jointly released by researchers from the InstantX Team and Shakker Labs. This Pro version has been trained with more steps and datasets compared to the earlier FLUX.1-dev-Controlnet-Union model. It supports 7 different control modes, including canny, tile, depth, blur, pose, gray, and low quality. Model inputs and outputs Inputs Prompt**: A text-based description of the desired image Control image**: An image that provides guidance to the model for specific attributes like edges, depth, or pose Control mode**: An integer value specifying which control mode to use (0-6 for the 7 supported modes) Outputs Generated image**: A new image created by the model based on the provided prompt and control image Capabilities The FLUX.1-dev-ControlNet-Union-Pro model can generate high-quality images by leveraging the power of the FLUX.1-dev base model and the flexibility of the ControlNet architecture. The model is capable of producing diverse and detailed images across a range of subjects and styles, from realistic portraits to fantastical scenes. What can I use it for? This model can be used for a variety of creative and artistic applications, such as concept art, character design, and digital illustration. The ability to guide the image generation process through control inputs like edges, depth, and pose opens up new possibilities for creative expression and experimentation. Additionally, the model could potentially be used in various commercial applications, such as product visualization, advertising, or even virtual production for film and games. Things to try One interesting aspect of the FLUX.1-dev-ControlNet-Union-Pro model is its ability to combine multiple control inputs to create unique and compelling images. By providing a combination of control images, such as a canny edge map and a depth map, you can explore the interplay between different visual attributes and how they influence the final output. This can lead to unexpected and serendipitous results, allowing you to push the boundaries of what's possible with text-to-image generation.
Updated 9/19/2024
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FLUX.1-dev-LoRA-blended-realistic-illustration
132
The FLUX.1-dev-LoRA-blended-realistic-illustration model from Shakker-Labs is a LoRA (Vector Journey) trained model based on the FLUX.1-dev dataset. This model aims to generate blended realistic illustrations, where the foreground character is in an illustrated style while the background is more realistic. The model was trained by Muertu, and Shakker-Labs plans to share more details about the training dataset preparation soon. Similar models include the flux-RealismLora and flux-lora-collection from XLabs-AI, which also provide LoRA fine-tuning for the FLUX.1-dev model, but with a focus on photorealism and various artistic styles like anime, Disney, and scenery. Model inputs and outputs Inputs Text prompts that describe the desired image, including details about the subject, style, and environment. Outputs Realistic illustrations with a blend of cartoon-style characters and photorealistic backgrounds. Capabilities The FLUX.1-dev-LoRA-blended-realistic-illustration model can generate a wide range of blended realistic illustrations, as showcased in the examples provided in the model's description. The model is able to combine cartoonish human figures with detailed, photorealistic backgrounds, creating a unique and visually striking artistic style. What can I use it for? This model could be particularly useful for projects that require a mix of stylized and realistic elements, such as book covers, album art, concept art for games or films, or illustrations for magazines and publications. The ability to blend cartoon-style characters with realistic environments opens up new creative possibilities for artists and designers. Things to try One interesting aspect of this model is its ability to seamlessly integrate different visual elements, such as the foreground character and background, into a cohesive and harmonious composition. Users could experiment with prompts that challenge the model to blend various styles, subjects, and settings in unique and unexpected ways, pushing the boundaries of what is possible with blended realistic illustrations.
Updated 9/5/2024
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FilmPortrait
121
The FilmPortrait model is a LoRA model finetuned on the FLUX.1-dev dataset, specifically designed to enhance the film texture of generated images. The model embodies a subdued, low-saturation color palette reminiscent of classic Japanese cinema, which is particularly evident in its portrayal of characters (with a subtle bias towards Asian features), serene still lifes, and sweeping landscapes. The model delivers an exceptional aesthetic experience, capturing the essence of a bygone era with modern precision. Compared to the base FLUX.1-dev model, the FilmPortrait model produces images with a more muted, film-like quality. As shown in the comparison section, the FilmPortrait model results in a softer, more nostalgic appearance compared to the standard FLUX.1-dev output. The AWPortrait-FL model is another similar LoRA model finetuned on FLUX.1-dev, but with a focus on improving composition and details in portrait photography. The FLUX.1-dev-LoRA-blended-realistic-illustration model blends realistic and illustrated elements, creating a unique mixed media effect. Model inputs and outputs The FilmPortrait model takes text prompts as input and generates corresponding images. The model is particularly well-suited for prompts related to film, photography, and nostalgic aesthetics. Inputs Text prompts**: Descriptive text that informs the content and style of the generated image, such as "a young girl, filmfotos, film grain, reversal film photography" Outputs Images**: The model generates 2D images that reflect the provided text prompt, with a subdued, film-like appearance. Capabilities The FilmPortrait model excels at producing images with a classic, cinematic aesthetic. The model's strength lies in its ability to capture the essence of traditional film photography, with its muted colors, soft textures, and subtle biases towards certain subject matter. As demonstrated in the comparison section, the FilmPortrait model can transform a standard FLUX.1-dev output into a more evocative, nostalgic image. The model's unique style is particularly well-suited for scenes depicting characters, landscapes, and still lifes. What can I use it for? The FilmPortrait model is an excellent choice for projects that require a vintage, film-inspired aesthetic. This could include: Concept art and mood boards for film, television, or game productions Illustrations and cover art for books, magazines, or albums with a retro feel Social media content and marketing materials with a nostalgic, analog aesthetic Personal art projects that aim to capture the essence of classic photography By leveraging the FilmPortrait model, creators can add a touch of cinematic charm to their digital creations, transporting viewers to a bygone era. Things to try To get the most out of the FilmPortrait model, try experimenting with prompts that evoke a sense of nostalgia or classic film. Keywords like "filmfotos", "film grain", and "reversal film photography" can help the model achieve the desired aesthetic. Additionally, consider combining the FilmPortrait model with other LoRA models, such as the AWPortrait-FL or FLUX.1-dev-LoRA-blended-realistic-illustration models, to create unique and compelling hybrid styles.
Updated 9/19/2024
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FLUX.1-dev-LoRA-AntiBlur
66
The FLUX.1-dev-LoRA-AntiBlur is a functional LoRA trained on the FLUX.1-dev model by Shakker-Labs for deep depth of field (anti-blur) enhancement. It performs well at maintaining image quality while improving the depth of field, and can be used in combination with other components like ControlNet. This LoRA is considered a basic functional model by its creators. Model inputs and outputs The FLUX.1-dev-LoRA-AntiBlur model takes text prompts as input and generates high-resolution images. It is built on top of the FLUX.1-dev model, which is a large language model trained for image generation tasks. Inputs Text prompt describing the desired image Outputs High-resolution images (up to 1024x768) matching the provided text prompt Capabilities The FLUX.1-dev-LoRA-AntiBlur model is effective at enhancing the depth of field in generated images while maintaining overall image quality. It can produce natural-looking blurred backgrounds that complement the in-focus subjects. The model performs well on a variety of scene types, from portraits to landscapes. What can I use it for? The FLUX.1-dev-LoRA-AntiBlur model can be a useful tool for creative image generation, particularly in cases where a shallow depth of field is desired. It could be applied to portrait photography, product photography, or any other scenario where a soft, blurred background would enhance the subject. The model's ability to maintain high image quality makes it suitable for commercial or professional use cases. Things to try One interesting aspect of the FLUX.1-dev-LoRA-AntiBlur model is its compatibility with other components, such as ControlNet. By combining this LoRA with techniques that allow for more precise control over the image generation process, users can potentially create even more compelling and tailored visual content.
Updated 9/19/2024
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FLUX.1-dev-LoRA-add-details
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The FLUX.1-dev-LoRA-add-details model is a LoRA (Low-Rank Adaptation) trained on the FLUX.1-dev model by Shakker-Labs. This LoRA is specifically designed to enhance the realism and details of generated images, achieving natural-looking skin textures. The model was created by Dote. Similar models include the FLUX.1-dev-LoRA-blended-realistic-illustration model, which blends realistic and illustrated elements, and the FilmPortrait model, which enhances a classic film-like aesthetic. Model inputs and outputs The FLUX.1-dev-LoRA-add-details model takes text prompts as input and generates corresponding images. The model is capable of producing highly detailed, realistic-looking portraits and scenes. Inputs Text prompt**: A description of the desired image, such as "A beautiful woman, flim rendering". Outputs Generated image**: The model outputs a single high-resolution image (768x1024 pixels) based on the provided text prompt. Capabilities The FLUX.1-dev-LoRA-add-details model excels at generating realistic and detailed portraits and scenes. The LoRA adaptation enhances the natural appearance of skin textures and other fine details, resulting in a more polished and lifelike output compared to the original FLUX.1-dev model. What can I use it for? The FLUX.1-dev-LoRA-add-details model can be useful for a variety of applications, such as: Portrait generation**: The model can create realistic and detailed portraits of people, which can be used for various creative projects or as reference material for artists. Illustration enhancement**: The model's ability to add realism and fine details can be used to enhance the quality and visual appeal of illustrated images. Concept art and visualizations**: The model can generate high-quality images that can be used as concept art or visual aids in various industries, such as game development, film production, or product design. Things to try One interesting aspect of the FLUX.1-dev-LoRA-add-details model is its ability to generate images with a range of realism. By adjusting the LoRA scale, you can create outputs that vary from more subtle, natural-looking details to more pronounced, enhanced details. Experimenting with different scale values can lead to a variety of stylistic results, allowing you to find the right balance for your specific needs. Additionally, you can try combining this LoRA with other Flux-based models or techniques, such as the FLUX.1-dev-LoRA-blended-realistic-illustration model, to explore different artistic styles and compositions.
Updated 9/19/2024