flux-dev
Maintainer: black-forest-labs
6.8K
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | No paper link provided |
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Model overview
flux-dev is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. It is part of a suite of models developed by Black Forest Labs, including the more capable flux-pro and the faster flux-schnell. flux-dev is a guidance-distilled variant, optimized for better prompt following and visual quality compared to the base model. It is available for use through partnerships with Replicate and FAL.
Model inputs and outputs
flux-dev takes in a text prompt, an aspect ratio, guidance strength, and output format as inputs. It then generates a corresponding image based on the prompt. The output is a URI pointing to the generated image.
Inputs
- Prompt: The text prompt describing the image to generate
- Aspect Ratio: The desired aspect ratio of the output image
- Guidance: The strength of the guidance for the image generation (ignored for
flux-schnell) - Seed: A random seed for reproducible generation
- Output Format: The format of the output image (e.g. webp, png)
- Output Quality: The quality setting when saving the output image (not relevant for .png)
Outputs
- Image URI: A URI pointing to the generated image
Capabilities
flux-dev is capable of generating high-quality, photorealistic images from a wide range of text prompts. It incorporates state-of-the-art techniques in text-to-image generation, such as Stable Diffusion and Imagen, to produce diverse and detailed outputs.
What can I use it for?
flux-dev can be used for a variety of creative and commercial applications, such as:
- Generating concept art or illustrations for games, films, or publications
- Creating custom stock images or product visualizations
- Exploring creative ideas and generating inspiration through visual prompts
Things to try
With flux-dev, you can experiment with different prompts to see the range of images it can generate. Try mixing genres, styles, and subjects to see the model's versatility. You can also play with the aspect ratio and guidance settings to achieve different aesthetic effects.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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The flux-dev-realism model is a variant of the FLUX.1-dev model, a powerful 12 billion parameter rectified flow transformer capable of generating high-quality images from text descriptions. This model has been further enhanced by XLabs-AI with their realism LORA, a technique for fine-tuning the model to produce more photorealistic outputs. Compared to the original FLUX.1-dev model, the flux-dev-realism model can generate images with a greater sense of realism and detail. Model inputs and outputs The flux-dev-realism model accepts a variety of inputs to control the generation process, including a text prompt, a seed value for reproducibility, the number of outputs to generate, the aspect ratio, the strength of the realism LORA, and the output format and quality. The model then generates one or more high-quality images that match the provided prompt. Inputs Prompt**: A text description of the desired output image Seed**: A value to set the random seed for reproducible results Num Outputs**: The number of images to generate (up to 4) Aspect Ratio**: The desired aspect ratio for the output images Lora Strength**: The strength of the realism LORA (0 to 2, with 0 disabling it) Output Format**: The format of the output images (e.g., WEBP) Output Quality**: The quality of the output images (0 to 100, with 100 being the highest) Outputs Image(s)**: One or more high-quality images matching the provided prompt Capabilities The flux-dev-realism model can generate a wide variety of photorealistic images, from portraits to landscapes to fantastical scenes. The realism LORA applied to the model helps to produce outputs with a greater sense of depth, texture, and overall visual fidelity compared to the original FLUX.1-dev model. The model can handle a broad range of prompts and styles, making it a versatile tool for creative applications. What can I use it for? The flux-dev-realism model is well-suited for a variety of creative and commercial applications, such as: Generating concept art or illustrations for games, films, or other media Producing stock photography or product images for commercial use Exploring ideas and inspirations for creative projects Visualizing scenarios or ideas for storytelling or world-building By leveraging the realism LORA, the flux-dev-realism model can help to bring your creative visions to life with a heightened sense of visual quality and authenticity. Things to try One interesting aspect of the flux-dev-realism model is its ability to seamlessly blend different artistic styles and genres within a single output. For example, you could try prompting the model to generate a "handsome girl in a suit covered with bold tattoos and holding a pistol, in the style of Animatrix and fantasy art with a cinematic, natural photo look." The results could be a striking, visually compelling image that combines elements of realism, animation, and speculative fiction. Another approach to explore would be to experiment with the LORA strength parameter, adjusting it to find the right balance between realism and stylization for your specific needs. By fine-tuning this setting, you can achieve a range of visual outcomes, from highly photorealistic to more fantastical or stylized.
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