oobabooga/textgen

Training: Fine-tune LoRAs on multi-turn chat or raw text datasets. Supports resuming interrupted runs (<a href="https://github.com/oobabooga/textgen/wiki/05-%E2%80%90-Training-Tab" target="_blank" rel="noopener noreferrer nofollow">tutorial ).
Image generation: A dedicated tab for diffusers models like Z-Image-Turbo . Features 4-bit/8-bit quantization and a persistent gallery with image metadata (<a href="https://github.com/oobabooga/textgen/wiki/Image-Generation-Tutorial" target="_blank" rel="noopener noreferrer nofollow">tutorial ).

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System	GPU	Command
Linux/WSL	NVIDIA	`pip3 install torch==2.9.1 --index-url https://download.pytorch.org/whl/cu128`
Linux/WSL	CPU only	`pip3 install torch==2.9.1 --index-url https://download.pytorch.org/whl/cpu`
Linux	AMD	`pip3 install https://repo.radeon.com/rocm/manylinux/rocm-rel-7.2/torch-2.9.1%2Brocm7.2.0.lw.git7e1940d4-cp313-cp313-linux_x86_64.whl`
MacOS + MPS	Any	`pip3 install torch==2.9.1`
Windows	NVIDIA	`pip3 install torch==2.9.1 --index-url https://download.pytorch.org/whl/cu128`
Windows	CPU only	`pip3 install torch==2.9.1`

GPU	requirements file to use
NVIDIA	`requirements.txt`
AMD	`requirements_amd.txt`
CPU only	`requirements_cpu_only.txt`
Apple Intel	`requirements_apple_intel.txt`
Apple Silicon	`requirements_apple_silicon.txt`

TextGen