Hugging face image generator. Running App Files Files Community 3 Refreshing .

Hugging face image generator To get started, use the DiffusionPipeline to load the anton-l/ddpm-butterflies-128 checkpoint to generate images of butterflies. 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. Amused is a vqvae token based transformer that can generate an image in fewer forward passes than many diffusion models. ndarray]) — Image, numpy array or tensor representing an image batch to be used as the starting point. 0, num_inference_steps= 4, max_sequence_length= 256, generator=torch. ai. 35k Anime Faces Generator (StyleGAN3 by NVIDIA) This is a StyleGAN3 PyTorch model trained on this Anime Face Dataset. Discord image generator support two models: Stable Diffusion and Open Journey! Discord image generator support two models: Stable Diffusion and Open Journey! Image captioning is the task of predicting a caption for a given image. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead. This is a no-code Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from ZOKMAN Image-to-Image • Updated about 7 hours ago • 143 Qwen/QwQ-32B-Preview Text Generation • Updated 21 days ago • 113k • • 1. --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. Inference Image Captioning Yes, AI Hugging Video is designed to preserve the original look and feel of photos while adding realistic hugging animations, similar to video Studio. Please note: For commercial use, please refer to https://stability. Runtime error More than 50,000 organizations are using Hugging Face Ai2 State-of-the-art diffusion models for image and audio generation in PyTorch. a scanned document, to text. . Using Hugging Face's Text-to-Image Generator. Discover amazing ML apps made by the community Generate an image based on a given text prompt. It uses a Masked Image Model architecture rather than latent diffusion, which reduces inferencing steps. Usage Demo on Spaces is not yet implemented. ai and Leonardo. The first open source alternative to ChatGPT. Ifeanyi Sep 30. discord-image-generator is a Discord bot that is able to use Hugging Face to generate AI images based on prompts. 5 food::-1 is likely to produce the image of an animal instead FLUX. like 101. For more information, please read our blog post. like 0. Best to use in img2img mode and inpainting The model will then use this vector to create an output image similar to the images used for training the model. Apr 19, 2024 · The influence of hugging face's image generator extends beyond creating captivating images; it serves as a powerful educational tool. 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. We will not be responsible for any problems you cause. 1-dev: One of the most powerful image generation models that can generate realistic outputs. This became possible precisely because of the huge dataset. prompt-generator. 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. Generate stunning high quality illusion artwork In fact, this is the first public model on the internet, where the selection of images was stricter than anywhere else, including Midjourney. like 375. ; image (torch. New: Create and edit this model card directly on the website All AI-generated images are yours, you can do whatever you want, but please obey the laws of your country. It achieves the following results on the evaluation set: Loss: 0. 1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. Intended uses & limitations More information needed. Each model is distinct. Common real world applications of it include aiding visually impaired people that can help them navigate through different situations. This guide will show you how to: Create an image dataset from local files in python with Dataset. ndarray, List[torch. Duplicated from keithhon/logo-generator. Model Details Model Description This repository contains a sleek and modern web application that allows users to generate stunning images from text descriptions using the Hugging Face FLUX. When you're happy with the model, download it for the next step. 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. It is also available on Stability AI's API and applications, including Stable Assistant and Stable Artisan. Hugging Face provides a variety of models for generating images from text. In contrast with muse, it uses the smaller text encoder clip instead of t5. 1 [schnell] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. 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. 3k • 414 lllyasviel/sd-controlnet-canny Image-to-Image • Updated May 1, 2023 • 286k • 182 Zero-Shot Image Classification. Mask Generation. images[0] image. like 11. Aug 1, 2023 · Start by visiting the Shap-E Hugging Face Space here or down below. Oct 30, 2023 · Unlock the magic of AI with handpicked models, awesome datasets, papers, and mind-blowing Spaces from RobotZeta We’re on a journey to advance and democratize artificial intelligence through open source and open science. Safetensors. For instance, you can use the DALL-E model, which is known for its ability to create high-quality images from textual Realistic-Image-Generator-Model. 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. Our AI ensures that the characters' appearances remain consistent and true to the original image in the generated AI Hugging videos. Disclaimer: AI is an area of active research with known problems such as biased generation and misinformation. Feel free to experiment with the styles, and try different prompts for creative outputs! Create an image dataset. SD3l is released under a free non-commercial license and is available via Hugging Face. push_to_hub(). nlpconnect/vit-gpt2-image-captioning This is an image captioning model trained by @ydshieh in flax this is pytorch version of this. png") To learn more check out the diffusers documentation All images (about 15 million) were used for training the Seq2Seq model. 💪. 2k • • 110 shuttleai/shuttle-3-diffusion-fp8 Jul 22, 2022 · Users can specify certain requirements via double-dashed parameters (e. FLUX. Create an image dataset with ImageFolder and some metadata. It's unique, it's massive, and it includes only perfect images. This guide will show you how to: Text-to-Image This model does not have enough activity to be deployed to Inference API (serverless) yet. Image. 1-dev model. 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. 2,956. Running Danbooru stores millions of tagged anime images, but it doesn't have a way to filter out NSFW content. Tensor, PIL. Generator("cpu"). Therefore, image captioning helps to improve content accessibility for people by describing images to them. 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. Full credits go to Soumik Rakshit & Sayak Paul. This can help the visually impaired people to understand what's happening in their surroundings. By adjusting parameters like “ illusion strength ” and providing prompts, you can use the power of AI to generate unique content. 1-dev-LoRA-Outfit-Generator Text-to-Image • Updated about 20 hours ago • 10. Image colorization 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. More denoising steps usually lead to a higher quality image at the expense of slower inference. 2536 Stable Video Diffusions (SVD), I2VGen-XL, AnimateDiff, and ModelScopeT2V are popular models used for video diffusion. ai/license. There are two methods for creating and sharing an image dataset. huanngzh 2 days ago # All running apps, trending first All running apps, trending first Explore our AI Image Generator hub, showcasing over 20 advanced models from the Hugging Face community. Painting Generator Convert your photos and artworks into paintings. g. manual_seed(0) ). We allow you to merge with another model, but if you share that merge model, don't forget to add me to the credits. Image Captioning Image Captioning is the process of generating textual description of an image. Running Image-to-Image • Updated Feb 8, 2023 • 14. When you think of diffusion models, text-to-image is usually one of the first things that come to mind. Training and evaluation data open-gpt-Image-Prompt-Generator. prompt (str or List[str], optional) — The prompt or prompts to guide image generation. In this tutorial, we created a text-to-image generator using Django and Hugging Face’s API. The Hugging Face API processes the input, generating an image that can be downloaded. Key Features 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. Remove this if you have enough GPU power prompt = "A cat holding a sign that says hello world" image = pipe( prompt, guidance_scale= 0. num_inference_steps: integer: The number of denoising steps. Image-caption-generator This model is trained on Flickr8k dataset to generate captions given an image. Parameters . Tensor], List[PIL. For more details about the text-to-image task, check out its dedicated page! You will find examples and related materials. 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. 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. black-forest-labs/FLUX. 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. Running App Files Files Community 3 Refreshing image-generator. Optical Character Recognition (OCR) OCR models convert the text present in an image, e. Hugging Face introduced a new AI model called aMUSEd that can generate images within seconds. diffusers: A library from HuggingFace for diffusion models, commonly used for generative tasks such as text-to-image generation. Refreshing. Making the community's best AI chat models available to everyone. This repo contains the model for the notebook GauGAN for conditional image generation. The project includes a form for users to enter a prompt and select an art style. Built with HTML, CSS, and JavaScript, the application features a user-friendly interface with a dark theme inspired by popular AI tools like Ideogram. hot dog::1. Software for generating text-to-image prompts from phrases. save("flux-schnell. Image], or List[np. This space uses the open-source Shap-E model, a recent diffusion model from OpenAI to generate 3D models from text. These open-source tools are free to use, providing a wide range of options for creating stunning images. Use concep to activate for example: concep, forest, trees etc. By simplifying complex concepts into visual representations, educators can enhance learning experiences for students of all ages. No model card. GauGAN uses a Generative Adversarial Network (GAN) to generate realistic images that are conditioned on cue images and segmentation maps. Running App Files Files Community 3 Refreshing Discover amazing ML apps made by the community open-gpt-Image-Prompt-Generator. Due to its small parameter count and few forward pass generation process, amused can generate many images quickly. Omnibus / logo-generator. Deliberate v3 can work without negatives and still produce masterpieces. Zero-Shot Object Detection UnfilteredAI About Us. This is an easy way that requires only a few steps in python. If not defined, you need to pass prompt_embeds. Training and evaluation data More information needed. Explore different use cases, task variants and resources for inference and training. Model trained on brushstrokes, you don't need to put any artist names or style to get nice results. UnfilteredAI is at the forefront of advancing artificial intelligence through open source contributions and open science initiatives. image-caption-generator This model is a fine-tuned version of on an unknown dataset. Use Cases Image inpainting Image inpainting is widely used during photography editing to remove unwanted objects, such as poles, wires, or sensor dust. 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. 3393; Model description More information needed. Dec 8, 2024 · This command installs LangChain and the Hugging Face Hub, which is essential for accessing the models. One or several prompt to guide what NOT to include in image generation. target_size: object: The size in pixel of the output image width* tryonlabs/FLUX. It achieves the following results on the evaluation set: eval_loss: 0. Model card Files Files and versions Community Use with library. Enter "Dilapidated Shack" as your prompt and click 'Generate'. like 241. Learn how to use text-to-image models to create, modify and personalize images from text prompts. Image, np. Training procedure Training hyperparameters Images are encoded through an encoder, which turns images into latent representations. Jan 4, 2024 · Hugging Face’s aMUSEd model creates images in seconds, far faster than rivals like Stable Diffusion. buonv xqn fhef hjvk rhsqf bgqlis pedayaus tlicc zwhrrkf hlq