Hugging face image generator. save("flux-schnell.

Hugging face image generator Discover amazing ML apps made by the community Generate an image based on a given text prompt. Citation BibTeX: Text-to-image models like Stable Diffusion are conditioned to generate images given a text prompt. Making the community's best AI chat models available to everyone. 1-dev: One of the most powerful image generation models that can generate realistic outputs. It's unique, it's massive, and it includes only perfect images. We will not be responsible for any problems you cause. html-code-generation-from-images-with-deep-neural-networks We’re on a journey to advance and democratize artificial intelligence through open source and open science. 2536 Images are encoded through an encoder, which turns images into latent representations. manual_seed(0) ). This repo contains the model for the notebook GauGAN for conditional image generation. Model card Files Files and versions Community Use with library. Best to use in img2img mode and inpainting May 14, 2024 · and outputs possible are Image 🖼️, Image + Text 🖼️📝, Text 📝, Audio 🎧 2️⃣ Flat 100% FREE 💸 and Super-fast ⚡. Image colorization FLUX. 3k • 414 lllyasviel/sd-controlnet-canny Image-to-Image • Updated May 1, 2023 • 286k • 182 Parameters . 2,956. Dec 8, 2024 · This command installs LangChain and the Hugging Face Hub, which is essential for accessing the models. 1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. Model trained on brushstrokes, you don't need to put any artist names or style to get nice results. Tensor], List[PIL. a scanned document, to text. ; image (torch. Generator to make generation deterministic. 0; Make sure to Aug 1, 2023 · Start by visiting the Shap-E Hugging Face Space here or down below. These pipelines can also be used to modify and edit images based on text prompts. For example, AnimateDiff inserts a motion modeling module into a frozen text-to-image model to generate personalized animated images, whereas SVD is entirely pretrained from scratch with a three-stage training process to generate short high-quality videos. This guide will show you how to: Create an image dataset from local files in python with Dataset. When you're happy with the model, download it for the next step. In contrast with muse, it uses the smaller text encoder clip instead of t5. like 101. 35k The AI Comic Factory is an online AI Comic Book Generator platform that allows you to generate your own comic book with the help of Hugging Face Space. Use concep to activate for example: concep, forest, trees etc. Follow these steps to obtain and set up your API key: Create a Hugging Face Account: Visit Hugging Face’s official website and sign up for a free account. images[0] image. Yes, AI Hugging Video is designed to preserve the original look and feel of photos while adding realistic hugging animations, similar to video Studio. Text-to-Image This model does not have enough activity to be deployed to Inference API (serverless) yet. 💪. ai. Painting Generator Convert your photos and artworks into paintings. Disclaimer: AI is an area of active research with known problems such as biased generation and misinformation. Create an image dataset. 5 food::-1 is likely to produce the image of an animal instead Unconditional image generation generates images that look like a random sample from the training data the model was trained on because the denoising process is not guided by any additional context like text or image. By adjusting parameters like “ illusion strength ” and providing prompts, you can use the power of AI to generate unique content. Training and evaluation data The first open source alternative to ChatGPT. Text-to-image is the task of generating images from input text. This became possible precisely because of the huge dataset. Model Details Model Description Duplicated from keithhon/logo-generator. This can help the visually impaired people to understand what's happening in their surroundings. Tensor, optional) — Pre-generated noisy latents sampled from a Gaussian distribution, to be used as inputs for image generation. hot dog::1. GauGAN uses a Generative Adversarial Network (GAN) to generate realistic images that are conditioned on cue images and segmentation maps. Therefore, image captioning helps to improve content accessibility for people by describing images to them. New: Create and edit this model card directly on the website This repository contains a sleek and modern web application that allows users to generate stunning images from text descriptions using the Hugging Face FLUX. It’s called so because it’s a open reproduction of Google's MUSE. huanngzh 2 days ago # All running apps, trending first All running apps, trending first tryonlabs/FLUX. ndarray, List[torch. These open-source tools are free to use, providing a wide range of options for creating stunning images. More than 50,000 organizations are using Hugging Face Ai2 State-of-the-art diffusion models for image and audio generation in PyTorch. . This guide will show you how to: UnfilteredAI About Us. Using Hugging Face's Text-to-Image Generator. Create an image dataset with ImageFolder and some metadata. Businesses can generate data for their use cases by inputting text and getting image outputs. --ar 16:9 sets the aspect ratio to 16:9, and --no snake asks the model to exclude snakes from the generated image) or set the importance of various entities in the image via explicit weights (e. Built with HTML, CSS, and JavaScript, the application features a user-friendly interface with a dark theme inspired by popular AI tools like Ideogram. 3. Before you can use IF, you need to accept its usage conditions. Generator], optional) — A torch. The Stable Diffusion model was created by researchers and engineers from CompVis, Stability AI, Runway, and LAION. png") To learn more check out the diffusers documentation All AI-generated images are yours, you can do whatever you want, but please obey the laws of your country. push_to_hub(). Running App Files Files Community 3 Refreshing Jun 12, 2024 · This model is the most powerful open-source, customizable text-to-image generator to date. Running Refreshing. Text-to-image. The first step is to get access to Hugging Face’s Inference API. 3️⃣ Sequential Image Generation. Bias While the capabilities of image generation models are impressive, they can also reinforce or exacerbate social biases. It achieves the following results on the evaluation set: eval_loss: 0. Obtaining and Configuring Your Hugging Face API Key. Stable Video Diffusions (SVD), I2VGen-XL, AnimateDiff, and ModelScopeT2V are popular models used for video diffusion. like 11. Inference Image Captioning IF is integrated with the 🤗 Hugging Face 🧨 diffusers library, which is optimized to run on GPUs with as little as 14 GB of VRAM. Due to its small parameter count and few forward pass generation process, amused can generate many images quickly. Safetensors. This is an easy way that requires only a few steps in python. For instance, you can use the DALL-E model, which is known for its ability to create high-quality images from textual Apr 19, 2024 · The influence of hugging face's image generator extends beyond creating captivating images; it serves as a powerful educational tool. Hugging Face provides a variety of models for generating images from text. No model card. like 0. Future Features: 1️⃣ Chat with PDF (Both voice and text) 2️⃣ Video generation. Explore different use cases, task variants and resources for inference and training. Create awe-inspiring masterpieces effortlessly and explore the endless possibilities of AI generated art. Please note: For commercial use, please refer to https://stability. The autoencoder uses a relative downsampling factor of 8 and maps images of shape H x W x 3 to latents of shape H/f x W/f x 4; Text prompts are encoded through a ViT-L/14 text-encoder. Feb 8, 2023 · Image-to-image pipelines can also be used in text-to-image tasks, to provide visual guidance to the text-guided generation process. Generate stunning high quality illusion artwork Image-to-Image • Updated Feb 8, 2023 • 14. Training procedure Training hyperparameters When you think of diffusion models, text-to-image is usually one of the first things that come to mind. 3393; Model description More information needed. Image], or List[np. FLUX. 1-dev model. We allow you to merge with another model, but if you share that merge model, don't forget to add me to the credits. Training and evaluation data More information needed. You can run the model pickle file locally using the instructions in this generator-script-only subset of the StyleGAN3 repo: Stable Video Diffusion Image-to-Video Model Card Stable Video Diffusion (SVD) Image-to-Video is a diffusion model that takes in a still image as a conditioning frame, and generates a video from it. Can be used to tweak the same generation with different prompts. black-forest-labs/FLUX. Image. Training Procedure As described further in the technical report for DALL·E Mini, during training, images and descriptions are both available and pass through the system as follows: Images are encoded through a VQGAN encoder, which turns images into a sequence of tokens. 0, num_inference_steps= 4, max_sequence_length= 256, generator=torch. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. Mask Generation. generator (torch. Image Captioning Image Captioning is the process of generating textual description of an image. The project includes a form for users to enter a prompt and select an art style. Oct 30, 2023 · Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from RobotZeta Discover amazing ML apps made by the community. Running App Files Files Community 3 Refreshing image-generator. Intended uses & limitations More information needed. SD3l is released under a free non-commercial license and is available via Hugging Face. The StableDiffusionPipeline is capable of generating photorealistic images given any text input. Our AI ensures that the characters' appearances remain consistent and true to the original image in the generated AI Hugging videos. A city above clouds, pastel colors, Victorian style. If not defined, you need to pass prompt_embeds. Zero-Shot Image Classification. This is a no-code Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from ZOKMAN Anime Faces Generator (StyleGAN3 by NVIDIA) This is a StyleGAN3 PyTorch model trained on this Anime Face Dataset. Deliberate v3 can work without negatives and still produce masterpieces. Remove this if you have enough GPU power prompt = "A cat holding a sign that says hello world" image = pipe( prompt, guidance_scale= 0. Common real world applications of it include aiding visually impaired people that can help them navigate through different situations. Enter "Dilapidated Shack" as your prompt and click 'Generate'. Use Cases Image inpainting Image inpainting is widely used during photography editing to remove unwanted objects, such as poles, wires, or sensor dust. Generate an We’re on a journey to advance and democratize artificial intelligence through open source and open science. Learn how to use text-to-image models to create, modify and personalize images from text prompts. This model was trained on 100,000 of these tags with up_score ≥ 3 for 3 epochs, so it's possible that some tags might contain NSFW descriptions. Full credits go to Soumik Rakshit & Sayak Paul. Realistic-Image-Generator-Model. Image, np. Training a model can be taxing on your hardware, but if you enable gradient_checkpointing and mixed_precision, it is possible to train a model on a single 24GB GPU. Amused is a vqvae token based transformer that can generate an image in fewer forward passes than many diffusion models. 1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. 3️⃣ Publicly Available before GPT 4o. An example of unconditional image generation would be generating the image of a face on a model trained with the CelebA dataset or generating a butterfly on a model trained with the Smithsonian Butterflies dataset. 1-dev-LoRA-Outfit-Generator Text-to-Image • Updated about 20 hours ago • 10. ndarray]) — Image, numpy array or tensor representing an image batch to be used as the starting point. In this tutorial, we created a text-to-image generator using Django and Hugging Face’s API. open-gpt-Image-Prompt-Generator. For more information, please read our blog post. The model still struggles with accurately rendering human hands. discord-image-generator is a Discord bot that is able to use Hugging Face to generate AI images based on prompts. Generator or List[torch. To get started, use the DiffusionPipeline to load the anton-l/ddpm-butterflies-128 checkpoint to generate images of butterflies. Tensor, PIL. image-caption-generator This model is a fine-tuned version of on an unknown dataset. For more details about the text-to-image task, check out its dedicated page! You will find examples and related materials. Optical Character Recognition (OCR) OCR models convert the text present in an image, e. ai and Leonardo. nlpconnect/vit-gpt2-image-captioning This is an image captioning model trained by @ydshieh in flax this is pytorch version of this. It is also available on Stability AI's API and applications, including Stable Assistant and Stable Artisan. ai/license. Each model is distinct. prompt (str or List[str], optional) — The prompt or prompts to guide image generation. latents (torch. Danbooru stores millions of tagged anime images, but it doesn't have a way to filter out NSFW content. 4️⃣ Better UI and customization. Jan 4, 2024 · We’re excited to present an efficient non-diffusion text-to-image model named aMUSEd. g. save("flux-schnell. When you think of diffusion models, text-to-image is usually one of the first things that come to mind. diffusers: A library from HuggingFace for diffusion models, commonly used for generative tasks such as text-to-image generation. Discord image generator support two models: Stable Diffusion and Open Journey! Discord image generator support two models: Stable Diffusion and Open Journey! All images (about 15 million) were used for training the Seq2Seq model. Generator("cpu"). This space uses the open-source Shap-E model, a recent diffusion model from OpenAI to generate 3D models from text. By simplifying complex concepts into visual representations, educators can enhance learning experiences for students of all ages. The Illustrated Image Captioning using transformers Illusion Diffusion AI is an AI model released on Hugging Face that allows you to convert ordinary images and text into captivating optical illusions and creative visual effects. To do so: Make sure to have a Hugging Face account and be loggin in; Accept the license on the model card of DeepFloyd/IF-I-M-v1. like 241. 2k • • 110 shuttleai/shuttle-3-diffusion-fp8 Jul 22, 2022 · Users can specify certain requirements via double-dashed parameters (e. Discover amazing ML apps made by the community AI NSFW GENERATOR - Generate and browse NSFW images with precision using advanced AI NSFW algorithms, delivering stunning, uncensored results instantly! #AINSFW #NSFWGenerator #AINSFWGenerator #NSF Generate 768x768 multi-view images using anime-style model. UnfilteredAI is at the forefront of advancing artificial intelligence through open source contributions and open science initiatives. Explore our AI Image Generator hub, showcasing over 20 advanced models from the Hugging Face community. The Hugging Face API processes the input, generating an image that can be downloaded. May 13, 2024 · In this article, we will explore how we can use the Stable Diffusion XL base model to transform textual descriptions into vivid images. Key Features Image-to-Image • Updated about 7 hours ago • 143 Qwen/QwQ-32B-Preview Text Generation • Updated 21 days ago • 113k • • 1. aMUSEd’s generation quality is not the best and we’re releasing a research preview with a permissive license. Usage Demo on Spaces is not yet implemented. It achieves the following results on the evaluation set: Loss: 0. Nov 18, 2024 · A free Hugging Face account to generate an API key. In fact, this is the first public model on the internet, where the selection of images was stricter than anywhere else, including Midjourney. Discover amazing ML apps made by the community We’re on a journey to advance and democratize artificial intelligence through open source and open science. The model will then use this vector to create an output image similar to the images used for training the model. Omnibus / logo-generator. Image-caption-generator This model is trained on Flickr8k dataset to generate captions given an image. There are two methods for creating and sharing an image dataset. Text-to-image generates an image from a text description (for example, “Astronaut in a jungle, cold color palette, muted colors, detailed, 8k”) which is also known as a prompt. Enter a prompt, choose a style, and watch Imagine - AI art generator bring your ideas to life! The model's customization performance degrades on Asian male faces. Unconditional image generation generates images that look like a random sample from the training data the model was trained on because the denoising process is not guided by any additional context like text or image. Zero-Shot Object Detection Image captioning is the task of predicting a caption for a given image. dwqakai gjos profv dprn szybamufv zktedx xycqrz zlfryp ramda meio