Alternatives to Point-E
Compare Point-E alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Point-E in 2026. Compare features, ratings, user reviews, pricing, and more from Point-E competitors and alternatives in order to make an informed decision for your business.
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1
Magic3D
Magic3D
Together with image conditioning techniques as well as prompt-based editing approach, we provide users with new ways to control 3D synthesis, opening up new avenues to various creative applications. Magic3D can create high-quality 3D textured mesh models from input text prompts. It utilizes a coarse-to-fine strategy leveraging both low- and high-resolution diffusion priors for learning the 3D representation of the target content. Magic3D synthesizes 3D content with 8× higher-resolution supervision than DreamFusion while also being 2× faster. Given a coarse model generated with a base text prompt, we can modify parts of the text in the prompt, and then fine-tune the NeRF and 3D mesh models to obtain an edited high-resolution 3D mesh. -
2
Shap-E
OpenAI
This is the official code and model release for Shap-E. Generate 3D objects conditioned on text or images. Sample a 3D model, conditioned on a text prompt, or conditioned on a synthetic view image. To get the best result, you should remove the background from the input image. Load 3D models or a trimesh, and create a batch of multiview renders and a point cloud encode them into a latent and render it back. For this to work, install Blender version 3.3.1 or higher.Starting Price: Free -
3
RODIN
Microsoft
This 3D avatar diffusion model is an AI system that automatically produces highly detailed 3D digital avatars. The generated avatars can be freely viewed in 360 degrees with unprecedented quality. The model significantly accelerates traditionally sophisticated 3D modeling process and opens new opportunities for 3D artists. This 3D avatar diffusion model is trained to generate 3D digital avatars represented as neural radiance fields. We build on the state-of-the-art generative technique (diffusion models) for 3D modeling. We use tri-plane representation to factorize the neural radiance field of avatars, which can be explicitly modeled by diffusion models and rendered to images via volumetric rendering. The proposed 3D-aware convolution brings the much-needed computational efficiency while preserving the integrity of diffusion modeling in 3D. The whole generation is a hierarchical process with cascaded diffusion models for multi-scale modeling. -
4
DreamFusion
DreamFusion
Recent breakthroughs in text-to-image synthesis have been driven by diffusion models trained on billions of image-text pairs. Adapting this approach to 3D synthesis would require large-scale datasets of labeled 3D assets and efficient architectures for denoising 3D data, neither of which currently exist. In this work, we circumvent these limitations by using a pre-trained 2D text-to-image diffusion model to perform text-to-3D synthesis. We introduce a loss based on probability density distillation that enables the use of a 2D diffusion model as a prior for optimization of a parametric image generator. Using this loss in a DeepDream-like procedure, we optimize a randomly-initialized 3D model (a Neural Radiance Field, or NeRF) via gradient descent such that its 2D renderings from random angles achieve a low loss. The resulting 3D model of the given text can be viewed from any angle, relit by arbitrary illumination, or composited into any 3D environment. -
5
ModelsLab
ModelsLab
ModelsLab is an innovative AI company that provides a comprehensive suite of APIs designed to transform text into various forms of media, including images, videos, audio, and 3D models. Their services enable developers and businesses to create high-quality visual and auditory content without the need to maintain complex GPU infrastructures. ModelsLab's offerings include text-to-image, text-to-video, text-to-speech, and image-to-image generation, all of which can be seamlessly integrated into diverse applications. Additionally, they offer tools for training custom AI models, such as fine-tuning Stable Diffusion models using LoRA methods. Committed to making AI accessible, ModelsLab supports users in building next-generation AI products efficiently and affordably.Starting Price: $7/month -
6
Imagen 2
Google
Imagen 2 is a state-of-the-art AI-powered text-to-image generation model developed by Google Research. It leverages advanced diffusion models and large-scale language understanding to produce highly detailed, photorealistic images from natural language prompts. Imagen 2 builds on its predecessor, Imagen, with improved resolution, finer texture details, and enhanced semantic coherence, allowing for more accurate visual representations of complex and abstract concepts. Its unique blend of vision and language models enables it to handle a wide range of artistic, conceptual, and realistic image styles. This breakthrough technology has broad applications in fields like content creation, design, and entertainment, pushing the boundaries of creative AI. -
7
Playbook
Playbook
An API that streams 3D scene data into ComfyUI diffusion-based workflows. Our API is exposed via our web editor, which allows for steering image generation with 3D. Support for custom workflows and LoRAs for teams & enterprises using AI in production pipelines. At Playbook, we believe that AI can be a powerful tool for doing great work and that getting there requires tight integration between model, application, and product. You own the assets created through our platform, provided that you have used inputs that do not violate the copyrights of others in the process of generating your model. Underlying the rise of spatial computing (AR/VR) and increasing reliance on visual effects (VFX) is the need for a 3D production pipeline that produces real-time content faster. Playbookengine.com is a diffusion-based render engine that reduces the time to final image with AI. It is accessible via web editor and API with support for scene segmentation and re-lighting. -
8
Waifu Diffusion
Waifu Diffusion
Waifu Diffusion is an AI image model that creates anime images from text descriptions. It's based on the Stable Diffusion model, which is a latent text-to-image model. Waifu Diffusion is trained on a large number of high-quality anime images. Waifu Diffusion can be used for entertainment purposes and as a generative art assistant. It continuously learns from user feedback, fine-tuning its image generation process. This iterative approach ensures that the model adapts and improves over time, enhancing the quality and accuracy of the generated waifus.Starting Price: Free -
9
Photosonic
Photosonic
The AI that paints your dreams with pixels for free. Start with a detailed description. Photosonic has already generated 1053127 images using AI. Photosonic is a web-based tool that lets you create realistic or artistic images from any text description, using a state-of-the-art text-to-image AI model. The model is based on latent diffusion, a process that gradually transforms a random noise image into a coherent image that matches the text. You can control the quality, diversity, and style of the generated images by adjusting the description and rerunning the model. Photosonic can be used for various purposes, such as generating inspiration for your creative projects, visualizing your ideas, exploring different scenarios or concepts, or simply having fun with AI. You can create images of landscapes, animals, objects, characters, scenes, or anything else you can imagine, and customize them with various attributes and details.Starting Price: $10 per month -
10
Gemini Diffusion
Google DeepMind
Gemini Diffusion is our state-of-the-art research model exploring what diffusion means for language and text generation. Large-language models are the foundation of generative AI today. We’re using a technique called diffusion to explore a new kind of language model that gives users greater control, creativity, and speed in text generation. Diffusion models work differently. Instead of predicting text directly, they learn to generate outputs by refining noise, step by step. This means they can iterate on a solution very quickly and error correct during the generation process. This helps them excel at tasks like editing, including in the context of math and code. Generates entire blocks of tokens at once, meaning it responds more coherently to a user’s prompt than autoregressive models. Gemini Diffusion’s external benchmark performance is comparable to much larger models, whilst also being faster. -
11
Hunyuan Motion 1.0
Tencent Hunyuan
Hunyuan Motion (also known as HY-Motion 1.0) is a state-of-the-art text-to-3D motion generation AI model that uses a billion-parameter Diffusion Transformer with flow matching to turn natural language prompts into high-quality, skeleton-based 3D character animation in seconds. It understands descriptive text in English and Chinese and produces smooth, physically plausible motion sequences that integrate seamlessly into standard 3D animation pipelines by exporting to skeleton formats such as SMPL or SMPLH and common formats like FBX or BVH for use in Blender, Unity, Unreal Engine, Maya, and other tools. The model’s three-stage training pipeline (large-scale pre-training on thousands of hours of motion data, fine-tuning on curated sequences, and reinforcement learning from human feedback) enhances its ability to follow complex instructions and generate realistic, temporally coherent motion. -
12
Seed3D
ByteDance
Seed3D 1.0 is a foundation-model pipeline that takes a single input image and generates a simulation-ready 3D asset, including closed manifold geometry, UV-mapped textures, and physically-based rendering material maps, designed for immediate integration into physics engines and embodied-AI simulators. It uses a hybrid architecture combining a 3D variational autoencoder for latent geometry encoding, and a diffusion-transformer stack to generate detailed 3D shapes, followed by multi-view texture synthesis, PBR material estimation, and UV texture completion. The geometry branch produces watertight meshes with fine structural details (e.g., thin protrusions, holes, text), while the texture/material branch yields multi-view consistent albedo, metallic, and roughness maps at high resolution, enabling realistic appearance under varied lighting. Assets generated by Seed3D 1.0 require minimal cleanup or manual tuning. -
13
Pony Diffusion
Pony Diffusion
Pony Diffusion is a versatile text-to-image diffusion model designed to generate high-quality, non-photorealistic images across various styles. It offers a user-friendly interface where users simply input descriptive text prompts and the model creates vivid visuals ranging from stylized pony-themed artwork to dynamic fantasy scenes. The fine-tuned model uses a dataset of approximately 80,000 pony-related images to optimize relevance and aesthetic consistency. It incorporates CLIP-based aesthetic ranking to evaluate image quality during training and supports a “scoring” system to guide output quality. The workflow is straightforward; craft a descriptive prompt, run the model, and save or share the generated image. The service clarifies that the model is trained to produce SFW content and is available under an OpenRAIL-M license, thereby allowing users to freely use, redistribute, and modify the outputs subject to certain guidelines.Starting Price: Free -
14
DiffusionBee
DiffusionBee
DiffusionBee is the easiest way to generate AI art on your computer with Stable Diffusion. Completely free of charge. DiffusionBee comes with all cutting-edge Stable Diffusion tools in one easy-to-use package. Generate an image using a text prompt. Generate any image in any style. Modify existing images using text prompts. Create a new image based on a starting image. Add/remove objects in an existing image at a selected region using a text prompt. Expand an image outwards using text prompts. Select a region in the canvas and add objects. Use AI to automatically increase the resolution of the generated image. Use external Stable Diffusion models which are trained on specific styles/objects using DreamBooth. Advanced options like the negative prompt, diffusion steps, etc. for power users. All the generation happens locally and nothing is sent to the cloud. An active community on Discord where you can ask us anything.Starting Price: Free -
15
Stable Diffusion XL (SDXL)
Stable Diffusion XL (SDXL)
Stable Diffusion XL or SDXL is the latest image generation model that is tailored towards more photorealistic outputs with more detailed imagery and composition compared to previous SD models, including SD 2.1. With Stable Diffusion XL you can now make more realistic images with improved face generation, produce legible text within images, and create more aesthetically pleasing art using shorter prompts. -
16
Qwen-Image
Alibaba
Qwen-Image is a multimodal diffusion transformer (MMDiT) foundation model offering state-of-the-art image generation, text rendering, editing, and understanding. It excels at complex text integration, seamlessly embedding alphabetic and logographic scripts into visuals with typographic fidelity, and supports diverse artistic styles from photorealism to impressionism, anime, and minimalist design. Beyond creation, it enables advanced image editing operations such as style transfer, object insertion or removal, detail enhancement, in-image text editing, and human pose manipulation through intuitive prompts. Its built-in vision understanding tasks, including object detection, semantic segmentation, depth and edge estimation, novel view synthesis, and super-resolution, extend its capabilities into intelligent visual comprehension. Qwen-Image is accessible via popular libraries like Hugging Face Diffusers and integrates prompt-enhancement tools for multilingual support.Starting Price: Free -
17
Seedream 4.0
ByteDance
Seedream 4.0 is a next-generation multimodal AI image generation and editing model that unifies text-to-image creation and text-guided image editing within a single architecture, delivering professional-grade visuals up to 4K resolution with exceptional fidelity and speed. It’s built around an efficient diffusion transformer and variational autoencoder design that lets it interpret text prompts and reference images to produce highly detailed, consistent outputs while handling complex semantics, lighting, and structure reliably, and it offers batch generation, multi-reference support, and precise control over edits such as style, background, or object changes without degrading the rest of the scene. Seedream 4.0 demonstrates industry-leading prompt understanding, aesthetic quality, and structural stability across generation and editing tasks, outperforming earlier versions and rival models in benchmarks for prompt adherence and visual coherence. -
18
Imagen
Google
Imagen is a text-to-image generation model developed by Google Research. It uses advanced deep learning techniques, primarily leveraging large Transformer-based architectures, to generate high-quality, photorealistic images from natural language descriptions. Imagen's core innovation lies in combining the power of large language models (like those used in Google's NLP research) with the generative capabilities of diffusion models—a class of generative models known for creating images by progressively refining noise into detailed outputs. What sets Imagen apart is its ability to produce highly detailed and coherent images, often capturing fine-grained details and textures based on complex text prompts. It builds on the advancements in image generation made by models like DALL-E, but focuses heavily on semantic understanding and fine detail generation.Starting Price: Free -
19
Ideogram AI
Ideogram AI
Ideogram AI is a text to image AI image generator. Ideogram's technology is based on a new type of neural network called a diffusion model. Diffusion models are trained on a large dataset of images, and they can then generate new images that are similar to the images in the dataset. However, unlike other generative AI models, diffusion models can also be used to generate images in a specific style. -
20
SeedEdit
ByteDance
SeedEdit is an advanced AI image-editing model developed by the ByteDance Seed team that enables users to revise an existing image using natural-language text prompts while preserving unedited regions with high fidelity. It accepts an input image plus a text description of the change (such as style conversion, object removal or replacement, background swap, lighting shift, or text change), and produces a seamlessly edited result that maintains structural integrity, resolution, and identity of the original content. The model leverages a diffusion-based architecture trained via a meta-information embedding pipeline and joint loss (combining diffusion and reward losses) to balance image reconstruction and re-generation, resulting in strong editing controllability, detail retention, and prompt adherence. The latest version (SeedEdit 3.0) supports high-resolution edits (up to 4 K), delivers fast inference (under ~10-15 seconds in many cases), and handles multi-round sequential edits. -
21
Fooocus
lllyasviel
Fooocus is an open source, offline image generation software built on Gradio and powered by Stable Diffusion XL (SDXL). Designed for simplicity, it minimizes manual tweaking, users focus on prompts while the system handles the rest. Fooocus includes an offline GPT-2-based prompt enhancement engine and sampling improvements, ensuring high-quality outputs from both short and long prompts. It supports features like inpainting, outpainting, upscaling, and image prompting, utilizing its own algorithms for superior results compared to standard SDXL methods. The software offers various presets, including anime and realistic modes, and allows for advanced customization through an intuitive interface. Installation is straightforward, with minimal clicks required, and it runs on systems with at least 4GB of NVIDIA GPU memory. Fooocus is in a state of limited long-term support, focusing on bug fixes, with no current plans to adopt newer model architectures.Starting Price: Free -
22
Imagen 3
Google
Imagen 3 is the next evolution of Google's cutting-edge text-to-image AI generation technology. Building on the strengths of its predecessors, Imagen 3 offers significant advancements in image fidelity, resolution, and semantic alignment with user prompts. By employing enhanced diffusion models and more sophisticated natural language understanding, it can produce hyper-realistic, high-resolution images with intricate textures, vivid colors, and precise object interactions. Imagen 3 also introduces better handling of complex prompts, including abstract concepts and multi-object scenes, while reducing artifacts and improving coherence. With its powerful capabilities, Imagen 3 is poised to revolutionize creative industries, from advertising and design to gaming and entertainment, by providing artists, developers, and creators with an intuitive tool for visual storytelling and ideation. -
23
ModelScope
Alibaba Cloud
This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. This model is based on a multi-stage text-to-video generation diffusion model, which inputs a description text and returns a video that matches the text description. Only English input is supported. The text-to-video generation diffusion model consists of three sub-networks: text feature extraction, text feature-to-video latent space diffusion model, and video latent space to video visual space. The overall model parameters are about 1.7 billion. Support English input. The diffusion model adopts the Unet3D structure, and realizes the function of video generation through the iterative denoising process from the pure Gaussian noise video.Starting Price: Free -
24
OpenAI Jukebox
OpenAI
We’re introducing Jukebox, a neural net that generates music, including rudimentary singing, as raw audio in a variety of genres and artistic styles. We’re releasing the model weights and code, along with a tool to explore the generated samples. Provided with genre, artist, and lyrics as input, Jukebox outputs a new music sample produced from scratch. Jukebox produces a wide range of music and singing styles and generalizes to lyrics not seen during training. All the lyrics below have been co-written by a language model and OpenAI researchers. When conditioned on lyrics seen during training, Jukebox produces songs very different from the original songs it was trained on. We provide 12 seconds of audio to condition on and Jukebox completes the rest in a specified style. We chose to work on music because we want to continue to push the boundaries of generative models. Jukebox’s autoencoder model compresses audio to a discrete space, using a quantization-based approach called VQ-VAE. -
25
FramePack AI
FramePack AI
FramePack AI revolutionizes video creation by enabling the generation of long, high-quality videos on consumer GPUs with just 6 GB of VRAM, using smart frame compression and bi-directional sampling to maintain constant computational load regardless of video length while avoiding drift and preserving visual fidelity. Key innovations include fixed context length to compress frames by importance, progressive frame compression for optimal memory use, and anti-drifting sampling to prevent error accumulation. Fully compatible with existing pretrained video diffusion models, FramePack accelerates training with large batch support and integrates seamlessly via fine-tuning under an Apache 2.0 open source license. Its user-friendly workflow lets creators upload an image or initial frame, set preferences for length, frame rate, and style, generate frames progressively, and preview or download final animations in real time.Starting Price: $29.99 per month -
26
Pixmind
Pixmind
Pixmind is an all-in-one AI visual creation platform designed for creators, marketers, designers, and businesses who want to turn ideas into high-quality images and videos—fast. By integrating multiple state-of-the-art AI models into a single, intuitive workspace, Pixmind removes technical barriers and empowers anyone to create professional-grade visual content with ease. For image generation, Pixmind supports a wide range of leading AI models such as Nano Banana, Midjourney, Stable Diffusion, Imagen, and GPT-4o. Users can generate images from text prompts or reference images, choose from diverse visual styles—including photorealistic, illustration, anime, oil painting, watercolor, and pixel art—and maintain visual consistency across outputs. Advanced image-to-prompt capabilities also help users reverse-engineer visuals into usable prompts, improving creative control and efficiency.Starting Price: $9.90/month -
27
DreamStudio
DreamStudio
DreamStudio is an easy-to-use interface for creating images using the recently released Stable Diffusion image generation model. Stable Diffusion is a fast, efficient model for creating images from text which understands the relationships between words and images. It can create high quality images of anything you can imagine in seconds–just type in a text prompt and hit Dream. Feel free to experiment with your complimentary credits. Be sure to keep an eye on your credit meter. Credits correlate directly to compute; increasing the number of steps or image resolution increases compute usage and will cost significantly more credits. If you run out of credits, more may be purchased in the “Membership” section of your account. -
28
YandexART
Yandex
YandexART is a diffusion neural network by Yandex designed for image and video creation. This new neural network ranks as a global leader among generative models in terms of image generation quality. Integrated into Yandex services like Yandex Business and Shedevrum, it generates images and videos using the cascade diffusion method—initially creating images based on requests and progressively enhancing their resolution while infusing them with intricate details. The updated version of this neural network is already operational within the Shedevrum application, enhancing user experiences. YandexART fueling Shedevrum boasts an immense scale, with 5 billion parameters, and underwent training on an extensive dataset comprising 330 million pairs of images and corresponding text descriptions. Through the fusion of a refined dataset, a proprietary text encoder, and reinforcement learning, Shedevrum consistently delivers high-calibre content. -
29
Qwen3-Omni
Alibaba
Qwen3-Omni is a natively end-to-end multilingual omni-modal foundation model that processes text, images, audio, and video and delivers real-time streaming responses in text and natural speech. It uses a Thinker-Talker architecture with a Mixture-of-Experts (MoE) design, early text-first pretraining, and mixed multimodal training to support strong performance across all modalities without sacrificing text or image quality. The model supports 119 text languages, 19 speech input languages, and 10 speech output languages. It achieves state-of-the-art results: across 36 audio and audio-visual benchmarks, it hits open-source SOTA on 32 and overall SOTA on 22, outperforming or matching strong closed-source models such as Gemini-2.5 Pro and GPT-4o. To reduce latency, especially in audio/video streaming, Talker predicts discrete speech codecs via a multi-codebook scheme and replaces heavier diffusion approaches. -
30
MusicGen
MusicGen
Meta's MusicGen is an open source, deep-learning language model that can generate short pieces of music based on text prompts. The model was trained on 20,000 hours of music, including whole tracks and individual instrument samples. The model will generate 12 seconds of audio based on the description you provided. You can optionally provide reference audio from which a broad melody will be extracted. The model will then try to follow both the description and melody provided. All samples are generated with the melody model. You can also use your own GPU or a Google Colab by following the instructions on our repo. MusicGen is comprised of a single-stage transformer LM together with efficient token interleaving patterns, which eliminates the need for cascading several models. MusicGen can generate high-quality samples, while being conditioned on textual description or melodic features, allowing better control over the generated output.Starting Price: Free -
31
Next3D.tech
Xi'an Erli Electronic Technology Co., Ltd
Next3D.tech is an AI-powered platform that generates production-ready 3D models from text descriptions or 2D images in under 30 seconds. It eliminates the need for complex 3D modeling skills or software by allowing users to simply describe their vision or upload an image. The platform supports export in all major 3D file formats like GLB, FBX, OBJ, and STL for seamless integration with engines like Unity and Unreal. Next3D offers high-fidelity textures and realistic materials generated automatically by AI, suitable for use in games, e-commerce, AR/VR, and architectural visualization. It drastically reduces the time and cost of 3D asset creation, saving up to 90% compared to traditional methods. Trusted by hundreds of creators worldwide, it’s currently available in a free beta with unlimited 3D model generation. -
32
Text2Mesh
Text2Mesh
Text2Mesh produces color and geometric details over a variety of source meshes, driven by a target text prompt. Our stylization results coherently blend unique and ostensibly unrelated combinations of text, capturing both global semantics and part-aware attributes. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization. -
33
PicassoPix
PicassoPix
PicassoPix is an innovative all-in-one platform that addresses the fragmented landscape of AI image generation tools. By consolidating various AI models and image editing capabilities under a single roof, PicassoPix offers users a comprehensive solution with a unified pricing system. This approach simplifies the user experience, making advanced AI image generation accessible to a broad audience. At the core of PicassoPix are two main text-to-image models: Stable Diffusion 3 and DALLE-3. These cutting-edge AI models are known for their distinct strengths in generating high-quality, creative images. PicassoPix leverages these technologies alongside its own free image generator, providing users with a range of options to suit different needs and preferences. The platform also incorporates unique features such as "Portrait from Selfie," "AI Headshot," and "AI Selfie Effect," which offer specialized image transformation capabilities.Starting Price: $4.99 -
34
Tripo AI
Tripo AI
Tripo is an AI-powered 3D workspace that enables users to generate production-ready 3D models from text, images, or sketches in seconds. The platform simplifies the entire 3D creation process by combining model generation, segmentation, texturing, rigging, and animation into one seamless workflow. With text-to-3D and image-to-3D capabilities, Tripo produces clean geometry and solid topology suitable for real-time engines and professional tools. Intelligent segmentation allows creators to split complex models into structured, editable parts with precision and control. AI texturing applies high-resolution, PBR-ready materials instantly, with Magic Brush enabling detailed local refinements. Automatic rigging and animation transform static meshes into animated assets without manual setup. Overall, Tripo dramatically reduces production time while making advanced 3D creation accessible to creators of all skill levels.Starting Price: $29.90 per month -
35
AISixteen
AISixteen
The ability to convert text into images using artificial intelligence has gained significant attention in recent years. Stable diffusion is one effective method for achieving this task, utilizing the power of deep neural networks to generate images from textual descriptions. The first step is to convert the textual description of an image into a numerical format that a neural network can process. Text embedding is a popular technique that converts each word in the text into a vector representation. After encoding, a deep neural network generates an initial image based on the encoded text. This image is usually noisy and lacks detail, but it serves as a starting point for the next step. The generated image is refined in several iterations to improve the quality. Diffusion steps are applied gradually, smoothing and removing noise while preserving important features such as edges and contours. -
36
NLevel.ai
NLevel.ai
NLevel.ai is an AI-powered platform that allows users to easily generate high-quality 3D models and images for game development, animation, 3D printing, and other creative uses. With advanced AI algorithms, it transforms simple text or image prompts into fully textured, game-ready models in universal GLB format. Users can directly download their creations for use in art, games, printing, and more. It emphasizes ethical AI development, training only on owned or properly licensed data. It offers a powerful AI generator that produces stunning and unique models and images with ease, and ensures compatibility by providing models in GLB format to integrate seamlessly across applications. NLevel.ai is designed to optimize workflows with high-quality model generation, advanced AI algorithms, universal format compatibility, ethical training data, and direct model downloading, supporting creators with tools tuned for 3D printing and game asset creation.Starting Price: $12 per month -
37
Stable Doodle
Stable Doodle
Transform your doodles into stunning landscape illustrations, regardless of your drawing skills, and witness vibrant scenes come to life with captivating details and colors. Easily bring sketch to life by creating charming and character-filled creatures. Infuses them with personality, detail, and a touch of magic. With just a rough sketch, unleash your creativity, adding elegance and functionality to your ideas and transforming them into tangible concepts. Stable Doodle is a sketch-to-image tool that converts a simple drawing into a dynamic image, providing limitless imaging possibilities to a range of individuals. table Doodle combines the advanced image-generating technology of Stability AI’s Stable Diffusion XL with the powerful T2I adapter. T2I-Adapter is a condition control solution developed by Tencent ARC. It allows for precise control over AI image generation. For the Stable Doodle use case, the T2I-Adapter provides supplementary guidance to the pre-trained text-to-image model. -
38
KKV AI
Ethan Sunray LLC
KKV.ai is an all-in-one AI platform offering powerful tools for generating images, videos, and chat interactions. It features industry-leading AI video generators and image models like Stable Diffusion, DALL-E, and GPT Image. Users can create stunning videos from text prompts, animate images, or generate detailed visuals from descriptions. The platform includes advanced AI editing tools for photo enhancement, object removal, and style transformations. Fun AI video effects and templates add creative flair, allowing users to produce unique content easily. KKV.ai is designed for users at all skill levels, providing commercial licensing and easy access through a simple interface.Starting Price: $9.90/month -
39
Retro Diffusion
Retro Diffusion
Retro Diffusion is a unique platform designed by artists to elevate your art, making the creation of pixel art quick and easy. Each tool is crafted to inspire and eliminate common challenges, allowing you to focus more on creating and less on stressing. The platform offers AI-powered image generation tools that enable users to produce production-ready artwork in seconds. Retro Diffusion is accessible through modern web browsers. Take your art to the next level with Retro Diffusion's one-of-a-kind platform. Designed by artists, Retro Diffusion makes creating pixel art quick and easy. Each tool not only inspires, but removes pesky pain points so you can do more creating, and less stressing. -
40
PXZ AI
PXZ AI
PXZ AI is an all-in-one AI creative platform that combines tools for video generation, image editing, graphic design, and enhancement, all accessible through multiple state-of-the-art models. It offers an AI image generator with options like FLUX Schnell, FLUX 1.1 Pro Ultra, Recraft V3, Stable Diffusion 3, Ideogram V2, and others to create unique images, graphics, and designs from text prompts. It also includes image tools such as background removal, photo colorization, face swapping, baby-face prediction, image upscaling, tattoo design, family portrait generation, and photo filters in popular styles (anime, Pixar, Ghibli, etc.). On the video side, PXZ AI gives access to AI video-generation models like Runway, Luma AI, Pika AI, and others, with features such as text-to-video, image-to-video conversion, video enhancement, plus additional “video effects.” The service emphasizes ease-of-use: users can select different models, apply creative tools, and generate content.Starting Price: $4.90 per month -
41
Mobile Diffusion
N1 RND
Introducing Mobile Diffusion, the innovative image generator that uses the latest AI technology to bring your imagination to life. With this app, you can create stunning images based on your own text prompt. No need for an internet connection, it works offline right on your device. Mobile Diffusion uses the Stable Diffusion v2.1 model to power its AI-based image generation. Thanks to CoreML optimization, it’s up to 2x faster than other image generation apps. It requires just a one-time download of the 4.5 GB model to work offline, and then you can use it anytime, anywhere. With the ability to specify both positive and negative prompts, you can fine-tune your image output to suit your needs. Sharing your generated images is easy, and the app is completely free to use. This app was made for research and development purposes only. The goal was to demonstrate the ability to run a diffusion model on a mobile device with acceptable performance. -
42
FLUX.2 [klein]
Black Forest Labs
FLUX.2 [klein] is the fastest member of the FLUX.2 family of AI image models, designed to unify text-to-image generation, image editing, and multi-reference composition into a single compact architecture that delivers state-of-the-art visual quality at sub-second inference times on modern GPUs, making it suitable for real-time and latency-critical applications. It supports both generation from prompts and editing existing images with references, combining high diversity and photorealistic outputs with extremely low latency so users can iterate quickly in interactive workflows; distilled versions can produce or edit images in under 0.5 seconds on capable hardware, and even compact 4 B variants run on consumer GPUs with about 8–13 GB of VRAM. The FLUX.2 [klein] family comes in different variants, including distilled and base versions at 9 B and 4 B parameter scales, giving developers options for local deployment, fine-tuning, research, and production integration. -
43
PIX4Dcatch
Pix4D
Create geolocalized open trenches models by simply walking around them. Accurately document and calculate volumes for invoicing. Quickly and accurately collect, process, and visualize as-built measurements and 3D models, even in the most demanding conditions. Complete an entire survey in a few minutes and create a 3D point cloud, a digital surface model, and a true orthomosaic of your area. Efficiently build accurate 3D collision scenes, add detailed measurements, and share insights with major forensic software platforms. To generate georeferenced 3D models, the collected images can be uploaded to PIX4Dcloud or exported to PIX4Dmatic. -
44
AWS Thinkbox Sequoia
Amazon
AWS Thinkbox Sequoia is a standalone application for point cloud processing and meshing, compatible with Windows, Linux, and macOS operating systems. It accepts point cloud and mesh data in various industry-standard formats, converting point cloud data into a compact and fast-to-access intermediate cache format. Sequoia offers intelligent workflows to retain high-precision data efficiently, displaying all or a fraction of the point cloud data using adaptive view-dependent methods. Users can transform, cull, and modify point cloud data, generate meshes from point clouds, and optimize the produced meshes. The software supports projecting images onto points and meshes, generating mesh vertex colors, Ptex, or UV-based textures from point cloud colors and image projections. It exports resulting meshes to supported industry-standard mesh file formats and integrates with Thinkbox Deadline to perform point cloud data conversion, meshing, and export on network nodes. -
45
ImageFX
Google
ImageFX is a standalone AI image generator tool from Google. It's powered by Imagen 2, Google's most advanced text-to-image model. ImageFX is designed for experimentation and creativity. Users can create images based on simple text prompts and modify them with expressive chips. It's also unique in that it allows users to experiment with "adjacent dimensions" of images created by the AI tool. ImageFX is similar to what other companies such as mid-journey and stable diffusion have offered. -
46
LLaVA
LLaVA
LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.Starting Price: Free -
47
DeepFashion
DeepFashion
DeepFashion AI creates stylish images and inspires creativity by learning from past collections. It's like having a twin fashion designer for your brand. DeepFashion helps turn 5 Looks into millions in brand DNA style, which takes only a few minutes. Training takes around 10-20 minutes, and image generation takes around 10 seconds. Generate looks with everyday language, with the help of universal prompt in text to image, image image method. Explore a diverse selection of styles and colors with our complimentary AI prompt, designed to assist you in crafting a one-of-a-kind look. Whether you prefer to utilize the look style in our Studio or harness the power of Stable Diffusion, we've got you covered.Starting Price: $5.99 per studio -
48
ByteDance Seed
ByteDance
Seed Diffusion Preview is a large-scale, code-focused language model that uses discrete-state diffusion to generate code non-sequentially, achieving dramatically faster inference without sacrificing quality by decoupling generation from the token-by-token bottleneck of autoregressive models. It combines a two-stage curriculum, mask-based corruption followed by edit-based augmentation, to robustly train a standard dense Transformer, striking a balance between speed and accuracy and avoiding shortcuts like carry-over unmasking to preserve principled density estimation. The model delivers an inference speed of 2,146 tokens/sec on H20 GPUs, outperforming contemporary diffusion baselines while matching or exceeding their accuracy on standard code benchmarks, including editing tasks, thereby establishing a new speed-quality Pareto frontier and demonstrating discrete diffusion’s practical viability for real-world code generation.Starting Price: Free -
49
ChatX
ChatX
Explore the limitless potential of AI with ChatGPT, DALL·E, Stable Diffusion and Midjourney. A free prompt marketplace for everyone. A place you can quickly and easily find the right generative AI prompts for your projects. One way to reduce the cost of tokens for AI models like GPT and AI image generators is to minimize the number of prompts. One way to begin using GPT and AI image generator models is to utilize a prompt that has already been successful in producing similar results. To see how a model responds to a given prompt, you can look at an example response on the page to get a sense of its output. Most of our prompts and services are free and you can use them in any way you want. Discover the best prompts for ChatGPT, DALL·E, Stable Diffusion, and Midjourney. A free marketplace for everyone. We offer the most diverse and abundant array of generative AI prompts. We are a pathway to communicate with artificial intelligence.Starting Price: Free -
50
Bevelify
Bevelify
Convert text to 3D or transform images into detailed 3D models effortlessly, no design skills needed. Perfect for creators, designers, and developers looking for quick, high-quality 3D models. Our AI-powered Text to 3D generator lets you create stunning 3D models from simple text prompts in just a minute. No design skills needed ust describe it, and watch it come to life! Bevelify enables artists, game developers, and creators to realize their ideas with tools that create 3D models in just seconds.Starting Price: $16/user/month
