---
title: FLUX.2 Text to Image
emoji: 🖼
colorFrom: purple
colorTo: red
sdk: gradio
sdk_version: 6.0.2
app_file: app.py
pinned: true
license: apache-2.0
short_description: Generate production-grade AI images using FLUX.2 [dev]
---

# FLUX.2 [dev] Text-to-Image

Generate high-quality images using FLUX.2 [dev], a 32B parameter rectified flow model by Black Forest Labs.

## Features

- **Text-to-Image Generation**: Create images from text prompts
- **Image Editing**: Upload images for editing and manipulation
- **Image Combining**: Combine multiple images based on text instructions
- **Prompt Upsampling**: Automatically enhance prompts using a VLM (optional)
- **ZeroGPU Support**: Optimized for ZeroGPU inference
- **Advanced Controls**: Fine-tune generation with seed, guidance scale, inference steps, and dimensions

## Setup

This Space requires:
- **ZeroGPU**: Enable ZeroGPU in your Space settings
- **HF_TOKEN**: Set your Hugging Face token as a Space secret for gated model access
  - Go to Settings → Secrets → Add `HF_TOKEN` with your Hugging Face token

## Model

- **Model**: [black-forest-labs/FLUX.2-dev](https://huggingface.co/black-forest-labs/FLUX.2-dev)
- **Blog**: [FLUX.2 Announcement](https://bfl.ai/blog/flux-2)

## Usage

1. Enter a text prompt describing the image you want to generate
2. (Optional) Upload one or more images for editing/combining
3. Adjust advanced settings as needed:
   - **Prompt Upsampling**: Enable to automatically enhance your prompt
   - **Seed**: Control randomness (use randomize for variety)
   - **Dimensions**: Width and height (must be multiples of 8)
   - **Inference Steps**: More steps = higher quality but slower (default: 30)
   - **Guidance Scale**: How closely to follow the prompt (default: 4.0)
4. Click "Run" to generate your image

## Notes

- The model uses pre-compiled blocks for ZeroGPU optimization
- Prompt upsampling requires a valid `HF_TOKEN` secret
- Image dimensions are automatically adjusted when uploading images
- Supports image editing and combining multiple images

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference