purohit10saurabh/minFLUX: (Unofficial) A minimal implementation of FLUX diffusion transformers
(Unofficial) A minimal implementation of FLUX diffusion transformers
712 articles tagged with Image Generation
(Unofficial) A minimal implementation of FLUX diffusion transformers
“Dense image captioning can be used for a variety of tasks, such as training vision-language and text-to-image models. When applied to user-facing features, it can improve image se...
A Python-based text-to-image generator using the Stable Diffusion v1.5 model, powered by Hugging Face’s diffusers library and accelerated with CUDA. Features a simple Tkinter GUI f...
Open-source web UI for Gemini text-to-image and image-to-image generation
Hugging Face model: NucleusAI/Nucleus-Image
Official implementation of Kimodo, a kinematic motion diffusion model for high-quality human(oid) motion generation.
Video diffusion model on human brain cells
Hugging Face Space: shootstuff/flux-img2img-uncensored
An implementation of the mimic-video framework — robot control via video diffusion model priors.
Local AI image generation CLI — FLUX, SD 1.5, SDXL & Z-Image diffusion models on your GPU
Hugging Face Space: black-forest-labs/flux-klein-9b-kv
Hugging Face model: black-forest-labs/FLUX.2-klein-9b-kv
Hugging Face model: Tongyi-MAI/Z-Image-Turbo
Hugging Face model: kpsss34/FHDR_Uncensored
Hugging Face model: black-forest-labs/FLUX.1-dev