Search Results for "tuning"
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Showing 7 open source projects for "tuning"
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AUTOMATIC1111 Stable Diffusion web UI
Stable Diffusion web UI
AUTOMATIC1111's stable-diffusion-webui is a powerful, user-friendly web interface built on the Gradio library that allows users to easily interact with Stable Diffusion models for AI-powered image generation. Supporting both text-to-image (txt2img) and image-to-image (img2img) generation, this open-source UI offers a rich feature set including inpainting, outpainting, attention control, and multiple advanced upscaling options. With a flexible installation process across Windows, Linux, and... -
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ImageReward
[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences
...It is provided as a Python package (image-reward) that enables quick scoring of generated images against textual prompts, with APIs for ranking, scoring, and filtering outputs. Beyond evaluation, ImageReward supports Reward Feedback Learning (ReFL), a method for directly fine-tuning diffusion models such as Stable Diffusion using human-preference feedback, leading to demonstrable improvements in image quality. -
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Z-Image
Image generation model with single-stream diffusion transformer
Z-Image is an efficient, open-source image generation foundation model built to make high-quality image synthesis more accessible. With just 6 billion parameters — far fewer than many large-scale models — it uses a novel “single-stream diffusion Transformer” architecture to deliver photorealistic image generation, demonstrating that excellence does not always require extremely large model sizes. The project includes several variants: Z-Image-Turbo, a distilled version optimized for speed and... -
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Stable Diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
...It offers an advanced method of generating images based on text input, making it highly flexible for various creative applications. The repository contains pretrained models, various checkpoints, and tools to facilitate image generation tasks, such as fine-tuning and modifying the models. Stability AI's approach to image synthesis has contributed to creating detailed, scalable images while maintaining efficiency. -
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imference-desktop
Local-first AI image generation. No ComfyUI, no Python setup.
Development happens on GitHub: https://github.com/Publikey/imference-desktop Imference Desktop is an open-source, local-first AI image generation app. It installs an isolated inference engine for you — no terminal, no CUDA wrestling, no Python environment. It auto-detects your GPU and tunes offloading/quantization to fit your VRAM: 8GB runs SDXL smoothly. Run seven model families locally (SDXL, SD 1.5, Z-Image, FLUX, Chroma, Qwen-Image, Anima), load your own .safetensors from Civitai, and... -
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Intelligent Java
Integrate with the latest language models, image generation and speech
...With just a few lines of code, you can easily access the power of cutting-edge AI models to enhance your projects. Access ChatGPT, GPT3 to generate text and DALL·E to generate images. OpenAI is preferred for quality results without tuning. Generate text; Cohere allows you to generate a language model to suit your specific needs. Generate audio from text; Access DeepMind’s speech models. The only dependencies is GSON. Required to add manually when using IntelliJava jar. However, if you imported this repo through Maven, it will handle the dependencies. -
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FLUX 3 Image Klein
5.6B image generation and editing model for fine-tuning and research
FLUX 3 Image Klein Base is Black Forest Labs' 5.6B-parameter open-weight image generation and editing model, designed for fine-tuning, LoRA training, and research. Its undistilled image transformer supports text-to-image generation, single-image editing, and multi-reference composition using up to 10 reference images. A separate Qwen3-VL-4B-Instruct text encoder interprets detailed scene descriptions, while bounding-box controls allow users to guide object placement, scale, and composition. ...
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