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Z-Image, Flux2 Klein, & SeedVR2 with a Gradio UI. Uses a built-in ComfyUI backend for speed and efficiency! [8GB+VRAM, 16GB+ RAM]
MFLUX-WEBUIFeatured
[MAC ONLY] A powerful and user-friendly web interface for FLUX, powered by MLX and Gradio via MFLUX
Wan2GPFeatured
Super Optimized Gradio UI for AI video creation for GPU poor machines (6GB+ VRAM). Supports Wan 2.1/2.2, Qwen, Hunyuan Video, LTX Video and Flux. https://github.com/deepbeepmeep/Wan2GP
ComfyuiFeatured
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. https://github.com/comfyanonymous/ComfyUI

⚡️ Efficient 6B parameter image generation model with sub-second inference. Generate high-quality, photorealistic images with only 8 inference steps. Features bilingual text rendering (Chinese & English) and Single-Stream Diffusion Transformer architecture.
flux-webuiFeatured
Minimal Flux Web UI powered by Gradio & Diffusers (Flux Schnell + Flux Merged)
ForgeFeatured
[NVIDIA ONLY] The most efficient way to run FLUX (Optimized to run even on low memory machines, as low as 3GB VRAM with 512x512 resolution) https://github.com/lllyasviel/stable-diffusion-webui-forge
[NVIDIA, ROCM] One app to train them all. LORA training and Model finetuning for Z-Image, Qwen Image, FLUX.1, Flux.2 Dev and Klein, Chroma, SD 1.5 - 3.5, SDXL, Würstchen-v2, Stable Cascade, PixArt-Alpha, PixArt-Sigma, Sana, Hunyuan Video and inpainting models.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
differential-diffusion-uiFeatured
Differential Diffusion modifies an image according to a text prompt, and according to a map that specifies the amount of change in each region https://differential-diffusion.github.io/
Contribute to Tongyi-MAI/Z-Image development by creating an account on GitHub.
InvokeFeatured
The Gen AI Platform for Pro Studios https://github.com/invoke-ai/InvokeAI
PhotoMaker2Featured
Customizing Realistic Human Photos via Stacked ID Embedding https://huggingface.co/spaces/TencentARC/PhotoMaker-V2
⚡️ Efficient 6B parameter image generation model with sub-second inference. Generate high-quality, photorealistic images with only 8 inference steps. Features bilingual text rendering (Chinese & English) and Single-Stream Diffusion Transformer architecture.Minimum 4GB graphics memory is supported.
facepokeFeatured
[NVIDIA Only] Select a portrait, click to move the head around https://github.com/jbilcke-hf/FacePoke
omnigenFeatured
A unified image generation model that you can use to perform various tasks, including but not limited to text-to-image generation, subject-driven generation, Identity-Preserving Generation, and image-conditioned generation. https://huggingface.co/spaces/Shitao/OmniGen
unoFeatured
[NVIDIA ONLY] Generate an image from multiple images https://github.com/bytedance/UNO
StyleAlignedFeatured
Style Aligned Image Generation via Shared Attention https://style-aligned-gen.github.io/
Upload the picture of an image, and generate images with that image style. Instant generation with no LoRA required https://huggingface.co/spaces/InstantX/InstantStyle