FLUX.1-schnell
Maintainer: black-forest-labs
2.0K
🔮
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
Create account to get full access
Model overview
FLUX.1 [schnell] is a cutting-edge text-to-image generation model developed by the team at black-forest-labs. With a 12 billion parameter architecture, the model can generate high-quality images from text descriptions, matching the performance of closed-source alternatives. The model was trained using latent adversarial diffusion distillation, allowing it to produce impressive results in just 1 to 4 steps.
Model inputs and outputs
FLUX.1 [schnell] takes text descriptions as input and generates corresponding images as output. The model can handle a wide range of prompts, from simple object descriptions to more complex scenes and concepts.
Inputs
- Text descriptions of the desired image
Outputs
- High-quality images matching the input text prompts
Capabilities
FLUX.1 [schnell] demonstrates impressive text-to-image generation capabilities, with the ability to capture intricate details and maintain faithful representation of the provided prompts. The model's performance is on par with leading closed-source alternatives, making it a compelling option for developers and creators looking to leverage state-of-the-art image generation technology.
What can I use it for?
FLUX.1 [schnell] can be a valuable tool for a variety of applications, such as:
- Rapid prototyping and visualization for designers, artists, and product developers
- Generating custom images for marketing, advertising, and content creation
- Powering creative AI-driven applications and experiences
- Enabling novel use cases in areas like entertainment, education, and research
Things to try
Explore the limits of FLUX.1 [schnell]'s capabilities by experimenting with a diverse range of text prompts, from simple object descriptions to more complex scenes and concepts. Additionally, try combining FLUX.1 [schnell] with other AI models or tools to develop unique and innovative applications.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
Related Models
🔮
FLUX.1-schnell
2.0K
FLUX.1 [schnell] is a cutting-edge text-to-image generation model developed by the team at black-forest-labs. With a 12 billion parameter architecture, the model can generate high-quality images from text descriptions, matching the performance of closed-source alternatives. The model was trained using latent adversarial diffusion distillation, allowing it to produce impressive results in just 1 to 4 steps. Model inputs and outputs FLUX.1 [schnell] takes text descriptions as input and generates corresponding images as output. The model can handle a wide range of prompts, from simple object descriptions to more complex scenes and concepts. Inputs Text descriptions of the desired image Outputs High-quality images matching the input text prompts Capabilities FLUX.1 [schnell] demonstrates impressive text-to-image generation capabilities, with the ability to capture intricate details and maintain faithful representation of the provided prompts. The model's performance is on par with leading closed-source alternatives, making it a compelling option for developers and creators looking to leverage state-of-the-art image generation technology. What can I use it for? FLUX.1 [schnell] can be a valuable tool for a variety of applications, such as: Rapid prototyping and visualization for designers, artists, and product developers Generating custom images for marketing, advertising, and content creation Powering creative AI-driven applications and experiences Enabling novel use cases in areas like entertainment, education, and research Things to try Explore the limits of FLUX.1 [schnell]'s capabilities by experimenting with a diverse range of text prompts, from simple object descriptions to more complex scenes and concepts. Additionally, try combining FLUX.1 [schnell] with other AI models or tools to develop unique and innovative applications.
Updated Invalid Date
🏋️
FLUX.1-dev
3.5K
The FLUX.1 [dev] is a 12 billion parameter rectified flow transformer developed by black-forest-labs that can generate images from text descriptions. It is part of the FLUX.1 model family, which includes the state-of-the-art FLUX.1 [pro] model as well as the efficient FLUX.1 [schnell] and the base flux-dev and flux-pro models. These models offer cutting-edge output quality, competitive prompt following, and various training approaches like guidance distillation and latent adversarial diffusion distillation. Model inputs and outputs The FLUX.1 [dev] model takes text prompts as input and generates corresponding images as output. The text prompts can describe a wide range of subjects, and the model is able to produce high-quality, diverse images that match the input descriptions. Inputs Text prompt**: A textual description of the desired image Outputs Generated image**: An image generated by the model based on the input text prompt Capabilities The FLUX.1 [dev] model is capable of generating visually compelling images from text descriptions. It matches the performance of closed-source alternatives in terms of output quality and prompt following, making it a powerful tool for artists, designers, and researchers. The model's open weights also allow for further scientific exploration and the development of innovative workflows. What can I use it for? The FLUX.1 [dev] model can be used for a variety of applications, such as: Personal creative projects**: Generate unique images to use in art, design, or other creative endeavors. Scientific research**: Experiment with the model's capabilities and contribute to the advancement of AI-powered image generation. Commercial applications**: Incorporate the model into various products and services, as permitted by the flux-1-dev-non-commercial-license. Things to try One interesting aspect of the FLUX.1 [dev] model is its ability to generate outputs that can be used for various purposes, as long as they comply with the specified limitations and out-of-scope uses. Experiment with different types of prompts to see the model's versatility and explore its potential applications.
Updated Invalid Date
✨
OpenFLUX.1
78
OpenFLUX.1 is a work-in-progress model being developed by ostris. It is not ready for general use yet, but the goal is to create a non-distilled version of the impressive FLUX.1-schnell model, which was created by Black Forest Labs. The FLUX.1-schnell model is a 12 billion parameter rectified flow transformer capable of generating high-quality images from text descriptions. However, since FLUX.1-schnell is a distilled model, it cannot be fine-tuned with techniques like LoRAs, IP adapters, or control nets. The OpenFLUX.1 model aims to address this limitation by providing a non-distilled base that can be used to train these types of adapters, which can then be used with the FLUX.1-schnell model. Model inputs and outputs OpenFLUX.1 is a text-to-image generation model. It takes text prompts as input and generates corresponding images as output. Inputs Text prompts**: The model accepts natural language descriptions of the desired image as input. Outputs Generated images**: The model outputs images that attempt to visually represent the input text prompt. Capabilities The OpenFLUX.1 model is still in development, so its current capabilities are limited. Since it is breaking the distillation of the FLUX.1-schnell model, it may not produce images of the same high quality. Additionally, the model currently lacks guidance embeddings, which can negatively impact image generation. However, the goal is for OpenFLUX.1 to serve as a base model for training adapters that can then be used with the FLUX.1-schnell model to enable fine-tuning and other advanced techniques. What can I use it for? At this stage, OpenFLUX.1 is primarily useful for researchers and developers interested in exploring the potential of training adapters on a non-distilled version of the FLUX.1-schnell model. While the generated images may not be of the highest quality, the model could be a valuable tool for experimenting with different fine-tuning approaches and techniques. Once the model is more mature, it may have broader applications in text-to-image generation, but for now, its primary use case is as a research and development platform. Things to try Since OpenFLUX.1 is a work-in-progress, the best thing to try is experimenting with different fine-tuning techniques and monitoring the impact on image quality and performance. Researchers and developers interested in advancing the field of text-to-image generation may find this model a useful starting point for their own work.
Updated Invalid Date
flux-schnell
43.2K
flux-schnell is the fastest image generation model from Black Forest Labs, tailored for local development and personal use. It is a high-performing model that can generate high-quality images from text descriptions quickly. Compared to similar models like flux-pro and flux-dev, flux-schnell prioritizes speed over some advanced capabilities, making it a great choice for personal projects and rapid prototyping. Model inputs and outputs flux-schnell takes in a text prompt and generates an image in response. The model supports customizing the aspect ratio, output format, and quality of the generated images. It also allows setting a random seed for reproducible generation. Inputs Prompt**: A text description of the desired image Aspect Ratio**: The aspect ratio of the generated image, e.g. "1:1" for a square image Output Format**: The file format of the generated image, e.g. "webp" Output Quality**: The quality of the generated image, from 0 (lowest) to 100 (highest) Seed**: A random seed for reproducible generation Outputs Image**: The generated image in the requested format and quality Capabilities flux-schnell can generate a wide variety of images from text prompts, including scenes, objects, and abstract concepts. It excels at producing realistic-looking images with impressive detail and visual quality. The model is also very fast, allowing for rapid iteration and experimentation. What can I use it for? You can use flux-schnell for personal projects, rapid prototyping, or any application that requires fast image generation from text. It's a great tool for creating custom illustrations, visualizing ideas, or generating images for social media, presentations, and more. The model's speed and ease of use make it a valuable asset for anyone working on creative or visually-oriented projects. Things to try Try experimenting with different prompts to see the range of images flux-schnell can generate. You can also play with the aspect ratio, output format, and quality settings to find the sweet spot for your specific use case. Additionally, the ability to set a random seed can be useful for reproducibility or creating variations on a theme.
Updated Invalid Date