FLUX Ai | How To Create Ultra Realistic Free Ai Images (No Installation Required) TensortArt

Angel Max
27 Aug 202408:10

TLDREzekiel and Sophia introduce FLUX AI, a groundbreaking image generator that excels at creating ultra-realistic images, including intricate details like hands and text. They discuss its superiority over previous models and its open-source availability. Despite the need for a powerful GPU, they present TensorArt as a user-friendly, free platform that utilizes the FLUX model, offering daily credits for image generation. They guide viewers on how to use FLUX through TensorArt, including prompt engineering and participating in contests for cash prizes. The video also showcases the process of training and publishing custom AI models on TensorArt.

Takeaways

  • 😀 Flux AI is a powerful image generator capable of producing ultra-realistic images, including accurate hands, fingers, and text.
  • 🖼️ The AI can generate high-quality images that are difficult to distinguish from real photos, surpassing previous models like Stable Diffusion 3 and SDXL.
  • 💡 Flux AI is fully open source, offering a versatile tool for image generation, but it requires a powerful GPU to run locally.
  • 🆓 TensorArt is a platform that allows users to generate images with various models, including Flux AI, without the need for a powerful GPU.
  • 🎉 TensorArt provides 100 free credits daily for image generation, with each Flux image generation costing about one credit.
  • 🔍 The platform also offers an 'Imageo' option for creating images at custom resolutions.
  • 📝 Users can learn effective prompt engineering for Flux AI through detailed articles and resources available on TensorArt.
  • 🤖 Chat GPT can assist in generating prompts for image generation, even for those who are not proficient in prompt writing.
  • 🏆 TensorArt hosts events and competitions where users can earn prizes, including cash and hardware, by training and publishing AI models.
  • 🛠️ Participants can train custom models on TensorArt by uploading their own images and defining training parameters like epochs and trigger words.
  • 📈 After training, users can publish their models on TensorArt, making them accessible to others and potentially winning events.

Q & A

  • What is the name of the AI image generator discussed in the video?

    -The AI image generator discussed in the video is called Flux AI.

  • What are some of the capabilities of Flux AI mentioned in the transcript?

    -Flux AI can accurately generate hands and fingers, produce text with precision, follow tricky prompts, and generate high-quality images that are hard to distinguish from real ones.

  • How does Flux AI compare to previous models like Stable Diffusion 3 and SDXL?

    -Flux AI is mentioned to create higher quality images than previous models like Stable Diffusion 3 and SDXL, with better text accuracy and overall picture quality.

  • What is TensorArt and how does it relate to Flux AI?

    -TensorArt is a platform that allows users to generate images with various models, including the new Flux model. It provides free credits for image generation and is an easy-to-use alternative for those without powerful GPUs.

  • How many free credits does TensorArt offer daily for image generation?

    -TensorArt offers 100 free credits daily for image generation.

  • What additional free resources does TensorArt provide for Flux image generation?

    -Apart from the daily credits, TensorArt provides 20 free Flux generations.

  • How can users get extra credits on TensorArt as mentioned in the transcript?

    -Users can get an extra 100 credits on TensorArt by signing up using the link provided in the description.

  • What is the purpose of the 'mastering flux prompt engineering' article on TensorArt?

    -The 'mastering flux prompt engineering' article is a detailed guide on how to generate amazing images using Flux AI by crafting effective prompts.

  • How does Chat GPT assist in the image generation process on TensorArt?

    -Chat GPT assists by generating prompts based on user's image requests, which can then be used in TensorArt's Flux AI prompt box to create the desired images.

  • What is the significance of the 'trigger word' in the context of training a model on TensorArt?

    -A 'trigger word' is used to activate the training of a specific model in the base model on TensorArt. It serves as a keyword that initiates the model's training process.

  • What is the prize for the first place in the Flux model event mentioned in the transcript?

    -The first prize in the Flux model event is an RTX 590.

Outlines

00:00

🖼️ Introducing Flux AI and Tensor Art

Ezekiel, a professional video editor, and Sophia, a professional influencer, introduce Flux AI, an advanced image generator capable of producing high-quality images of hands, fingers, and text with precision. They discuss its ability to generate realistic selfies and how it surpasses previous models like Stable Diffusion 3 and SDXL. They highlight that Flux AI is open source but can be challenging to run locally due to the need for a powerful GPU. To address this, they introduce Tensor Art, a platform that allows users to generate images using various models, including Flux, for free. They explain that Tensor Art provides 100 free credits daily, with each Flux image generation costing one credit. They also mention the platform's imageo option for custom resolutions and guide viewers on how to sign up, navigate the platform, and utilize the resources provided, such as a detailed article on Flux prompt engineering and Chat GPT for generating prompts.

05:02

🎨 Training and Participating in AI Art Events

The second paragraph delves into the process of training AI models on Tensor Art and participating in AI art events. It explains how to access online training, select a custom model theme, and choose a base model, with Flux being highlighted for its use in earning rewards. The paragraph details the training process, including setting the number of epochs, duplicating images for training, and defining a trigger word. It also covers the creation of a prompt to view results after each training iteration. The speaker demonstrates training a model with images of a blue elephant generated by Flux AI, guiding viewers through uploading images, setting training parameters, and starting the training process. Upon completion, the speaker shows how to publish the trained model, create a project, and add relevant tags and descriptions. The paragraph concludes with information on participating in an AI art event, encouraging viewers to read guidelines and potentially win prizes like an RTX 590 or cash rewards.

Mindmap

Keywords

💡AI Images

AI images refer to images generated by artificial intelligence algorithms, often using deep learning models. In the context of the video, AI images are created using a specific AI model called FLUX AI, which is capable of producing ultra-realistic images without the need for manual installation of software. The video discusses how this technology can accurately generate details such as hands, fingers, and text, blurring the line between AI-generated and real photographs.

💡Flux AI

Flux AI is the name of the AI model discussed in the video, which is known for its ability to generate high-quality, realistic images. It is noted for its advancements over previous models like Stable Diffusion 3 and SDXL, with improved text accuracy and anatomical correctness. Flux AI is highlighted as a significant leap in AI image generation technology.

💡TensortArt

TensortArt is described as a platform in the video that allows users to generate images using various AI models, including the advanced Flux model. It is noted for being user-friendly and offering a free service where users can generate images quickly. The platform provides daily credits for image generation, making it accessible to a wide range of users without the need for a powerful GPU.

💡Prompt Engineering

Prompt engineering is the process of crafting detailed and specific text prompts to guide AI models in generating desired images. The video emphasizes the importance of mastering prompt engineering to achieve the best results with Flux AI. It mentions an article on 'mastering flux prompt engineering' that can help users learn how to create compelling prompts for image generation.

💡Chat GPT

Chat GPT is mentioned as a tool that can assist users in generating prompts for AI image generation. It is showcased in the video as a way to help users who may not be proficient in prompt writing to still create detailed and effective prompts. By inputting a description of the desired image, Chat GPT can generate multiple prompts that can be used with Flux AI.

💡Image Resolution

Image resolution refers to the number of pixels in an image, which determines its level of detail and clarity. The video discusses how TensortArt allows users to create images at any resolution they want, providing flexibility in the output quality of the AI-generated images.

💡Negative Prompt

A negative prompt is a type of prompt used in AI image generation that specifies what elements should not be included in the generated image. In the video, it is mentioned as a feature in the image generation process on TensortArt, where users can specify what they do not want to appear in the final image, helping to refine the output.

💡Online Training

Online training, as discussed in the video, refers to the process of training AI models using online platforms. TensortArt offers this feature, allowing users to train models with their own images and prompts. The video demonstrates how to participate in an event where users can train a model and potentially win prizes.

💡Trigger Word

A trigger word is a specific word or phrase that initiates a particular action or response in an AI model. In the context of the video, a trigger word is used to activate a trained model in the base model of TensortArt. Users can set a trigger word to easily generate images based on their trained model.

💡Epoch

In the context of AI training, an epoch refers to a complete iteration over the entire dataset used for training a model. The video explains that users can define the number of epochs during the online training process on TensortArt, which determines how many times the model will see each piece of training data.

Highlights

Flux AI can accurately generate hands, fingers, and produce text with precision.

It can follow tricky prompts and generate mediocre low-quality selfie images.

Flux AI's image quality is better than previous models like Stable Diffusion 3 and Sdxl.

Flux AI is fully open source, making it a very cool tool.

Using Flux AI can be challenging due to the need for a powerful GPU.

TensorArt is a platform that allows free image generation with various models, including Flux.

TensorArt offers 100 free credits daily for image generation.

Each Flux image generation on TensorArt takes about one credit.

TensorArt provides an imageo option for creating images at any desired resolution.

Users can sign up on TensorArt for extra credits.

Mastering Flux prompt engineering article on TensorArt helps in generating amazing images.

Chat GPT can generate prompts based on image requests, aiding non-experts in prompt writing.

TensorArt allows users to select the best Flux model for their image.

Users can participate in a training event on TensorArt to earn cash prizes.

Participants can upload their best model in Flux TensorArt to compete for prizes.

Online training in TensorArt allows users to train models with their own images.

Trained models can be published on TensorArt for others to use.

Participants can win cash prizes by publishing high-quality models on TensorArt.