text-to-image diffusion model inference
Official minimal inference code and open-weight checkpoints for the FLUX.1 family of text-to-image and image-editing diffusion models.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose it when you want a single Python library and pipeline abstraction covering FLUX plus many other diffusion models, at the cost of a much heavier dependency than the seed's minimal code.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Pick it when the goal is fast local fine-tuning/LoRA training of diffusion and LLM models rather than plain single-shot FLUX inference.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma 4, FLUX and more.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
An in-Krita painting plugin for AI image generation — good for artists working inside Krita, but not swappable into a code pipeline.
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required.
A self-hosted web studio bundling many hosted image/video models behind a UI, rather than a library you embed.
Unrestricted Open-source alternative to AI video platforms — Free AI image & video generation studio with 600+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
A one-click browser UI for local image generation — choose it for non-technical desktop users, not as a code dependency.
An easy 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image.
These projects were analysed and named flux among their alternatives. The relationship is not symmetric — how flux rates them is a separate judgement, made when flux is analysed in its own right.
calls flux “choose when you want the official Python/PyTorch reference for FLUX.1 models specifically rather than a multi-model C++ engine.”
Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++