Conflictx

Models by this creator

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228

Complex-Lineart

Conflictx

The Complex-Lineart model is a powerful AI-powered image generation tool developed by Conflictx. This model has been trained on a dataset of around 100 high-resolution images and is capable of producing stunning, highly detailed illustrations with a distinct "ComplexLA" style. The model can generate a wide range of imagery, from cyberpunk cityscapes to fantastical sci-fi landscapes, all with an intricate, greeble-infused aesthetic. Similar models like Real-ESRGAN, GFPGAN, LAMA, and Latent Consistency Model offer similar image generation and enhancement capabilities, but the Complex-Lineart model excels in its ability to create highly detailed, stylized illustrations. Model inputs and outputs Inputs Text prompts describing the desired image, such as "a cyberpunk Volvo car driving on a road, high resolution, very detailed" Resolution near 768x768 for best quality, lower resolutions may work but with reduced quality Outputs Highly detailed, stylized illustrations with a distinctive "ComplexLA" aesthetic Supports a wide range of subject matter, from sci-fi machinery to fantastical landscapes Capabilities The Complex-Lineart model is capable of generating intricate, visually stunning illustrations that blend elements of cyberpunk, science fiction, and fantasy. The model's attention to detail and ability to render complex, greeble-infused structures set it apart from many other image generation models. What can I use it for? The Complex-Lineart model can be a valuable tool for artists, designers, and creators looking to generate unique, visually striking imagery for a variety of applications, such as concept art, book covers, album art, and more. The model's capabilities make it well-suited for projects that require a high level of detail and a distinctive, stylized aesthetic. Things to try Experiment with different text prompts to explore the model's versatility. Try combining elements from various genres, such as "a steampunk mech power drone, explosion in background, ComplexLA style, mad max, high resolution, very detailed, greeble, intricate." The model's ability to blend diverse influences and create cohesive, visually compelling imagery is truly impressive.

Updated 5/28/2024

Image-to-Image

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119

CGI_Animation

Conflictx

The CGI_Animation model, created by the maintainer Conflictx, is a Textual Inversion Embedding for Stable Diffusion 2.x that focuses on generating 3D animated styles reminiscent of Disney and Pixar films. Similar models include SD2-768-Papercut by ShadoWxShinigamI, which is a Textual Inversion Embedding for SD 2.0 trained on a PaperCut style, and epic-diffusion by johnslegers, a general-purpose model based on Stable Diffusion 1.x. Model inputs and outputs The CGI_Animation model takes text prompts as input and generates images with a 3D animated, volumetric lighting style. The default embedding is 215 steps, but there are also versions with fewer or more steps available for more or less pronounced effects. Inputs Text prompts describing the desired image, including style keywords like "disney style", "pixar animation", and "CGI_Animation" Outputs Images with a 3D animated, volumetric lighting style reminiscent of Disney and Pixar films Capabilities The CGI_Animation model excels at generating images with a distinct 3D animated look and feel, including detailed, smooth characters and environments with magical, cinematic lighting. Examples include a Disney-style rendering of the character Anna from Frozen, a Pixar-esque Woody from Toy Story, and various cute animal characters. What can I use it for? The CGI_Animation model can be useful for creating concept art, illustrations, or promotional images with a polished 3D animated aesthetic, which could be valuable for projects in fields like animation, game development, or marketing. Given the model's ability to capture the signature styles of popular animation studios, it could also be used to create fan art or tributes to beloved animated franchises. Things to try One interesting thing to explore with the CGI_Animation model is how it handles different subject matter beyond just human characters. The examples show it can effectively render animals and objects with the same 3D animated style, so experimenting with a variety of prompts could yield surprising and delightful results. Additionally, trying out the different embedding versions with fewer or more steps can allow for more nuanced control over the final visual style.

Updated 5/27/2024

Image-to-Image

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VikingPunk

Conflictx

The VikingPunk model is a Textual Inversion Embedding created by Conflictx for Stable Diffusion 2.x. It is trained on 768x768 images with a focus on cooler environments and viking+cyberpunk themes. This model can produce impressive results for space environments similar to the "Alien" franchise. It can be used in conjunction with other embeddings like AnimeScreencap and CGI_Animation from the same creator. Model inputs and outputs The VikingPunk model is an image-to-image AI model that takes textual prompts as input and generates corresponding images. The model was trained on a dataset of 768x768 images with viking and cyberpunk themes. Inputs Textual prompts that include the keyword "VikingPunk" Outputs 768x768 pixel images with viking and cyberpunk-inspired designs and themes Capabilities The VikingPunk model can generate a variety of viking and cyberpunk-inspired images, including portraits, landscapes, and futuristic scenes. It excels at creating detailed, visually striking images with a unique aesthetic. The model can also be combined with other embeddings to produce hybrid styles, as demonstrated in the examples provided by the maintainer. What can I use it for? The VikingPunk model can be useful for a variety of creative and commercial applications, such as concept art for games, movies, or book covers, as well as for personal art projects. The model's ability to blend viking and cyberpunk elements makes it well-suited for science fiction and fantasy-themed works. Users can also experiment with combining this model with others, like AnimeScreencap and CGI_Animation, to explore new and unique styles. Things to try One interesting aspect of the VikingPunk model is its ability to generate images with a strong sense of mood and atmosphere. Users can experiment with prompts that evoke specific emotions or settings, such as "a viking warrior in a dimly lit cyberpunk city" or "a futuristic viking longship drifting through an alien landscape." By playing with the model's capabilities, users can create truly distinctive and captivating visuals.

Updated 5/28/2024

Image-to-Image

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AnimeScreencap

Conflictx

AnimeScreencap is a Textual Inversion Embedding model created by Conflictx for Stable Diffusion 2.x. It is trained on 768x768 images from anime sources, aiming to produce a beautiful artstyle with a focus on warm environments and movie-styled anime. While it can capture faces, the maintainer notes it may have some difficulty in this area. Similar models include CGI_Animation by Conflictx, which focuses on 3D animated styles, as well as Counterfeit-V2.0 and EimisAnimeDiffusion_1.0v, both of which are anime-focused Stable Diffusion models. Model inputs and outputs Inputs Textual prompts describing the desired anime-style image Outputs 768x768 pixel images in the anime-inspired artstyle created by the model Capabilities The AnimeScreencap model can generate a variety of anime-styled scenes and environments, from lush landscapes to cozy interiors. It excels at capturing warm, volumetric lighting and a cinematic, movie-like aesthetic. While it may struggle somewhat with detailed facial features, the model produces consistently high-quality, immersive anime artwork. What can I use it for? The AnimeScreencap model can be used to create beautiful, stylized artwork for a variety of applications, such as illustrations, concept art, and background designs. Its focus on warm, cinematic environments makes it well-suited for projects with an anime or movie-inspired aesthetic, such as game environments, book covers, and promotional materials. Things to try Experiment with different textual prompts to see the range of styles and subjects the AnimeScreencap model can produce. Try combining it with other Textual Inversion models, such as CGI_Animation, to create unique hybrid styles. Additionally, consider using the model for image-to-image tasks to refine or build upon existing anime artwork.

Updated 5/28/2024

Image-to-Image

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Kipaki-EgyptianSciFi

Conflictx

The Kipaki-EgyptianSciFi model is a Textual Inversion Embedding developed by Conflictx and trained on 768x768 images from Midjourney. Similar to Conflictx's other models like AnimeScreencap and VikingPunk, this model has a distinct stylized look and feel, with a focus on ancient Egyptian and science fiction themes. Model inputs and outputs The Kipaki-EgyptianSciFi model is a Textual Inversion Embedding, which means it takes textual prompts as input and generates corresponding images. The model was trained on a dataset of 150 images, resulting in an embedding that can be used to produce images with a striking Egyptian-inspired sci-fi aesthetic. Inputs Textual prompts using the keyword Kipaki-xxx, where xxx is the embedding number Outputs 768x768 pixel images with a unique Kipaki-style look and feel Capabilities The Kipaki-EgyptianSciFi model excels at generating striking sci-fi imagery with an ancient Egyptian influence. It can produce detailed, photorealistic scenes of people, cityscapes, vehicles, and more, all within the distinct Kipaki visual style. The model seems to struggle slightly with more generic prompts, but shines when used for concepts like "gods", "scifi", and "ancient Egypt". What can I use it for? The Kipaki-EgyptianSciFi model could be a valuable tool for artists, designers, and creators looking to incorporate a distinct, stylized sci-fi aesthetic with ancient Egyptian influences into their work. It could be used to generate concept art, illustrations, or even assets for games or films set in a futuristic Egyptian-inspired world. Things to try One interesting aspect of the Kipaki-EgyptianSciFi model is its ability to mix well with other Conflictx embeddings, such as AnimeScreencap and VikingPunk. Experimenting with different combinations of these models could lead to unique and unexpected results, allowing you to blend various sci-fi and fantasy influences into your creative projects.

Updated 5/28/2024

Text-to-Image

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Chempunk

Conflictx

The Chempunk model is a Textual Inversion Embedding created by Conflictx for Stable Diffusion 2.x. It is trained on 768x768 images from Midjourney and other sources, with a focus on "toxic environments and dystopian+dieselpunk themes". This model can be a good fit if you're interested in creating images with a gritty, post-apocalyptic aesthetic, similar to the VikingPunk and Kipaki-EgyptianSciFi models from the same creator. Model inputs and outputs The Chempunk model is a Textual Inversion Embedding, which means it can be used to generate images from text prompts in Stable Diffusion 2.x. The model is trained on a specific set of visual concepts, allowing it to produce images with a distinctive "chempunk" style. Inputs Text prompts describing the desired image, using the keyword "ChemPunk" Outputs 768x768 pixel images with a gritty, dystopian aesthetic featuring toxic environments, glowing green lighting, and other chempunk-themed elements Capabilities The Chempunk model excels at generating images with a dark, post-apocalyptic atmosphere. It can produce detailed scenes of alchemy labs, market stalls, and sewer monsters, all with a distinctive green-tinged color palette and moody lighting. What can I use it for? The Chempunk model could be useful for creating concept art, game assets, or illustrations with a gritty, industrial-inspired aesthetic. It may also be well-suited for science fiction or cyberpunk-themed projects that require a sense of environmental decay and toxicity. Things to try To get the most out of the Chempunk model, try experimenting with prompts that evoke a sense of environmental danger or technological decay. Incorporate keywords like "toxic", "dystopian", or "dieselpunk" to further enhance the model's unique style. You can also combine the Chempunk model with other Textual Inversion Embeddings, such as the AnimeScreencap or VikingPunk models, to explore new creative directions.

Updated 5/28/2024

Text-to-Image

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CutAway

Conflictx

The CutAway model is a Textual Inversion Embedding created by Conflictx for Stable Diffusion 2.0. It was trained on 768x768 images from Midjourney, focusing on creating "cutaway" views of homes, structures, and other objects. This model can be used to generate images with a unique, detailed cutaway style, similar to concept art or architectural visualizations. Similar models from Conflictx include the Kipaki-EgyptianSciFi embedding, which has a more sci-fi, Egyptian-inspired aesthetic, and the AnimeScreencap embedding, which focuses on a warm, movie-like anime style. These models can be used in combination with the CutAway embedding to achieve a range of unique visual styles. Model inputs and outputs The CutAway model takes text prompts as input and generates corresponding 768x768 pixel images as output. The model is focused on creating detailed, cutaway views of various structures and objects, with a strong emphasis on architectural and interior design elements. Inputs Text prompts describing the desired cutaway scene, such as "a cute witch house, cutaway, 4k, very detailed, gta 5 and witcher concept art" Outputs 768x768 pixel images depicting the requested cutaway scenes, with a high level of detail and a unique, visualized perspective Capabilities The CutAway model can generate a wide range of detailed, cutaway-style images, from whimsical witch houses to futuristic computers and organic brains. The model's strength lies in its ability to create visually striking, conceptual renderings that would be challenging to produce manually. By leveraging the model's specialized training, users can explore creative and unique architectural and design ideas without the need for extensive artistic skills. What can I use it for? The CutAway model can be a valuable tool for a variety of applications, including: Architectural visualization and concept design Interior design and home decor planning Fantasy and science-fiction world-building Illustration and concept art for games, films, and other media By incorporating the model's cutaway style, users can create eye-catching and informative visuals to communicate their ideas, whether for personal creative projects or professional design work. Things to try One interesting aspect of the CutAway model is its ability to generate detailed, cross-sectional views of both man-made and organic structures. Users can experiment with prompts that explore the intersection of the natural and the artificial, such as "a cute organic (brain), cutaway, 4k, very detailed, gta 5 and witcher concept art" or "a cute (computer), cutaway, 4k, very detailed, gta 5 and witcher concept art". These types of prompts can lead to striking and thought-provoking images that challenge the viewer's perceptions of the boundaries between technology and biology.

Updated 9/6/2024

Image-to-Image