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Wan2GP
https://github.com/pinokiofactory/wanv3.7updated 1/28/2026, 9:41:31 AMindexed 1/28/2026, 4:16:21 PM
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
Comfyui
https://github.com/pinokiofactory/comfyv3.7updated 1/14/2026, 11:37:40 AMindexed 1/24/2026, 11:52:22 PM
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. https://github.com/comfyanonymous/ComfyUI
aura-sr-upscaler
https://github.com/pinokiofactory/aura-sr-upscalerv3.7updated 1/13/2026, 4:59:11 PMindexed 1/20/2026, 9:12:03 AM
AuraSR-v2 - An open reproduction of the GigaGAN Upscaler from fal.ai https://huggingface.co/spaces/gokaygokay/AuraSR-v2
Invoke
https://github.com/pinokiofactory/invokev3.7updated 1/12/2026, 3:44:31 AMindexed 1/28/2026, 12:04:03 AM
The Gen AI Platform for Pro Studios https://github.com/invoke-ai/InvokeAI
MagicQuill
https://github.com/pinokiofactory/MagicQuillv3.7updated 1/11/2026, 8:07:39 PMindexed 1/20/2026, 9:13:50 AM
An intelligent, interactive Image Editing System. Easily erase and add objects on a user-friendly interface.
Forge
https://github.com/pinokiofactory/stable-diffusion-webui-forgev2.0updated 1/7/2026, 1:28:44 AMindexed 1/20/2026, 9:14:53 AM
[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
Clarity Refiners UI
https://github.com/pinokiofactory/clarity-refiners-uiv3.7updated 1/2/2026, 8:07:27 PMindexed 1/23/2026, 7:46:41 PM
An enhanced local port of finegrain-image-enhancer powered by Refiners (https://huggingface.co/spaces/finegrain/finegrain-image-enhancer), which was adapted from philz1337x's Clarity Upscaler (https://github.com/philz1337x/clarity-upscaler)
artist
https://github.com/pinokiofactory/artistv3.0updated 4/23/2025, 9:33:31 PMindexed 1/20/2026, 9:13:04 AM
Artist is a training-free text-driven image stylization method. You give an image and input a prompt describing the desired style, Artist give you the stylized image in that style. The detail of the original image and the style you provide is harmonically integrated https://huggingface.co/spaces/fffiloni/Artist
ZeST
https://github.com/cocktailpeanutlabs/zestv1.5updated 3/17/2025, 12:39:18 AMindexed 1/20/2026, 9:12:44 AM
ZeST: Zero-Shot Material Transfer from a Single Image. Local port of https://huggingface.co/spaces/fffiloni/ZeST (Project: https://ttchengab.github.io/zest/)