EimisSemiRealistic
Maintainer: eimiss
43
✅
| 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 EimisSemiRealistic model is a diffusion-based AI model trained by eimiss to generate semi-realistic, highly detailed images. It is an extension of eimiss's anime diffusion model, which was trained on high quality anime images. The EimisSemiRealistic model takes this a step further, aiming to produce more realistic and detailed outputs with features like glowing effects, electricity, and intricate costumes and backgrounds.
Some similar models include the EimisAnimeDiffusion_1.0v and the epic-diffusion model, which also focus on generating high-quality anime and fantasy-inspired imagery.
Model inputs and outputs
Inputs
- Text prompts describing the desired image, including details like characters, settings, effects, and artistic styles.
- Negative prompts to guide the model away from undesirable elements.
- Sampling parameters like number of steps, CFG scale, and seed.
Outputs
- High-resolution, photorealistic images matching the provided text prompt.
- The model can generate a wide variety of scenes and characters, from fantastical beings in dramatic settings to portraits with intricate details.
Capabilities
The EimisSemiRealistic model excels at generating visually striking, semi-realistic imagery with a strong sense of detail and atmosphere. It can produce images with compelling lighting effects, dynamic poses, and richly textured elements like costumes, hair, and environments. The model seems particularly adept at rendering fantastical and supernatural elements like energy, fire, and magical auras.
What can I use it for?
The EimisSemiRealistic model could be useful for a variety of creative projects, from conceptual art and illustrations to worldbuilding and character design. Its ability to generate highly detailed, realistic-looking images makes it well-suited for visual development work in areas like game design, film production, and product visualization.
The model's semi-realistic style also opens up potential use cases in fields like advertising, marketing, and social media, where eye-catching visual content is in high demand. Businesses or creators could leverage the model's capabilities to produce striking imagery for promotional materials, social posts, or other visual assets.
Things to try
One interesting avenue to explore with the EimisSemiRealistic model would be experimenting with different prompting techniques to push the realism and detail even further. Combining the model's strengths with prompts that focus on specific artistic elements, like fabric textures, lighting, or facial features, could lead to particularly impressive results.
Additionally, the model's versatility lends itself well to iterative workflows, where artists or designers could use the initial outputs as a starting point for further refinement and post-processing. Integrating the model's capabilities into a broader creative pipeline could unlock new possibilities for visual storytelling and world-building.
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
📉
EimisAnimeDiffusion_1.0v
401
The EimisAnimeDiffusion_1.0v is a diffusion model trained by eimiss on high-quality and detailed anime images. It is capable of generating anime-style artwork from text prompts. The model builds upon the capabilities of similar anime text-to-image models like waifu-diffusion and Animagine XL 3.0, offering enhancements in areas such as hand anatomy, prompt interpretation, and overall image quality. Model inputs and outputs Inputs Textual prompts**: The model takes in text prompts that describe the desired anime-style artwork, such as "1girl, Phoenix girl, fluffy hair, war, a hell on earth, Beautiful and detailed explosion". Outputs Generated images**: The model outputs high-quality, detailed anime-style images that match the provided text prompts. The generated images can depict a wide range of scenes, characters, and environments. Capabilities The EimisAnimeDiffusion_1.0v model demonstrates strong capabilities in generating anime-style artwork. It can create detailed and aesthetically pleasing images of anime characters, landscapes, and scenes. The model handles a variety of prompts well, from character descriptions to complex scenes with multiple elements. What can I use it for? The EimisAnimeDiffusion_1.0v model can be a valuable tool for artists, designers, and hobbyists looking to create anime-inspired artwork. It can be used to generate concept art, character designs, or illustrations for personal projects, games, or animations. The model's ability to produce high-quality images from text prompts makes it accessible for users with varying artistic skills. Things to try One interesting aspect of the EimisAnimeDiffusion_1.0v model is its ability to generate images with different art styles and moods by using specific prompts. For example, adding tags like "masterpiece" or "best quality" can steer the model towards producing more polished, high-quality artwork, while negative prompts like "lowres" or "bad anatomy" can help avoid undesirable artifacts. Experimenting with prompt engineering and understanding the model's strengths and limitations can lead to the creation of unique and captivating anime-style images.
Updated Invalid Date
🌀
SemiRealMix
51
SemiRealMix is an AI model created by robotjung that aims to generate semi-realistic human images. It is the result of many merges to improve the quality of semi-realistic human generation. This model can be compared to similar models like Ekmix-Diffusion and dreamlike-photoreal-2.0, which also focus on producing photorealistic images. Model inputs and outputs Inputs Prompt:** The model accepts a text prompt to guide the image generation, such as "delicate, masterpiece, best shadow, (1 girl:1.3), (korean girl:1.2), (from side:1.2), (from below:0.5), (photorealistic:1.5), extremely detailed skin, studio, beige background, warm soft light, low contrast, head tilt". Negative Prompt:** The model also accepts a negative prompt to avoid certain unwanted elements, such as "worst quality, low quality, nsfw, nude, (loli, child, infant, baby:1.5), jewely, (hard light:1.5), back light, spot light, hight contrast, (eyelid:1.3), outdoor, monochrome". Outputs Images:** The primary output of the SemiRealMix model is photorealistic human images, as shown in the examples provided. Capabilities The SemiRealMix model is capable of generating semi-realistic human images with a high level of detail and quality. The examples demonstrate the model's ability to create realistic-looking portraits, with natural-looking skin, hair, and facial features. The model can also handle a variety of poses and angles, as well as different lighting conditions. What can I use it for? The SemiRealMix model could be useful for a variety of applications, such as creating photorealistic character designs, concept art, or promotional images. The model's ability to generate semi-realistic human images could be particularly valuable for industries like advertising, entertainment, or gaming, where high-quality visual assets are in demand. Things to try One interesting aspect of the SemiRealMix model is its ability to handle detailed prompts with specific instructions, such as the use of modifiers like "(1 girl:1.3)" or "(photorealistic:1.5)". Users can experiment with different prompt variations to see how the model responds and potentially create more tailored or specialized outputs.
Updated Invalid Date
👨🏫
hitokomoru-diffusion-v2
57
The hitokomoru-diffusion-v2 is a latent diffusion model fine-tuned from the waifu-diffusion-1-4 model. The model was trained on 257 artworks from the Japanese artist Hitokomoru using a learning rate of 2.0e-6 for 15,000 training steps. This model is a continuation of the previous hitokomoru-diffusion model, which was fine-tuned from the Anything V3.0 model. Model inputs and outputs The hitokomoru-diffusion-v2 model is a text-to-image generation model that can generate images based on textual prompts. The model supports the use of Danbooru tags to influence the generation of the images. Inputs Text prompts**: The model takes in textual prompts that describe the desired image, such as "1girl, white hair, golden eyes, beautiful eyes, detail, flower meadow, cumulonimbus clouds, lighting, detailed sky, garden". Outputs Generated images**: The model outputs high-quality, detailed anime-style images that match the provided text prompts. Capabilities The hitokomoru-diffusion-v2 model is capable of generating a wide variety of anime-style images, including portraits, landscapes, and scenes with detailed elements. The model performs well at capturing the aesthetic and style of the Hitokomoru artist's work, producing images with a similar level of quality and attention to detail. What can I use it for? The hitokomoru-diffusion-v2 model can be used for a variety of creative and entertainment purposes, such as generating character designs, illustrations, and concept art. The model's ability to produce high-quality, detailed anime-style images makes it a useful tool for artists, designers, and hobbyists who are interested in creating original anime-inspired content. Things to try One interesting thing to try with the hitokomoru-diffusion-v2 model is experimenting with the use of Danbooru tags in the input prompts. The model has been trained to respond to these tags, which can allow you to generate images with specific elements, such as character features, clothing, and environmental details. Additionally, you may want to try using the model in combination with other tools, such as the Automatic1111's Stable Diffusion Webui or the diffusers library, to explore the full capabilities of the model.
Updated Invalid Date
🐍
epic-diffusion
127
epic-diffusion is a general-purpose text-to-image model based on Stable Diffusion 1.x, intended to replace the official SD releases as a default model. It is focused on providing high-quality output in a wide range of styles, with support for NSFW content. The model is a heavily calibrated merge of several SD 1.x models, including Stable Diffusion 1.4, Stable Diffusion 1.5, Analog Diffusion, Wavy Diffusion, Openjourney Diffusion, Samdoesarts Ultramerge, postapocalypse, Elldreth's Dream, Inkpunk Diffusion, Arcane Diffusion, and Van Gogh Diffusion. The maintainer, johnslegers, has blended and reblended these models multiple times to achieve the desired quality and consistency. Similar models include loliDiffusion, a model specialized for generating loli characters, EimisAnimeDiffusion_1.0v, a model trained on high-quality anime images, and mo-di-diffusion, a fine-tuned Stable Diffusion 1.5 model trained on screenshots from a popular animation studio. Model inputs and outputs Inputs Text prompt**: A natural language description of the desired image, such as "scarlett johansson, in the style of Wes Anderson, highly detailed, unreal engine, octane render, 8k". Outputs Image**: A generated image that matches the text prompt, such as a highly detailed portrait of Scarlett Johansson in the style of Wes Anderson. Capabilities epic-diffusion can generate a wide variety of high-quality images based on text prompts. The model's diverse training data and extensive fine-tuning allows it to produce outputs in many artistic styles, from realism to surrealism, and across a range of subject matter, from portraits to landscapes. The model's support for NSFW content also makes it suitable for more mature or adult-oriented use cases. What can I use it for? epic-diffusion can be used for a variety of creative and commercial applications, such as: Generating concept art, illustrations, or digital paintings for use in games, films, or other media Producing personalized artwork or creative content for clients or customers Experimenting with different artistic styles and techniques through text-to-image generation Supplementing or enhancing human-created artwork and design work The model's open access and commercial usage allowance under the CreativeML OpenRAIL-M license make it a versatile tool for both individual creators and businesses. Things to try One interesting aspect of epic-diffusion is its ability to blend and incorporate various existing Stable Diffusion models, resulting in a unique and flexible model that can adapt to a wide range of prompts and use cases. Experimenting with different prompt styles, from highly detailed and technical to more abstract or conceptual, can help users discover the model's full potential and uncover new creative possibilities. Additionally, leveraging the model's support for NSFW content could open up opportunities for more mature or adult-oriented applications, while still adhering to the usage guidelines specified in the CreativeML OpenRAIL-M license.
Updated Invalid Date