Create an “image generator” module (or service) that uses a state-of-the-art image generation backbone (from Hugging Face) as the base, but fine-tunes (or conditions) it using the dataset / checkpoint at Garbeexkx/68e473f245a5b5ec62019f6c (hereafter “the Garbeexkx model/dataset”).

Use amazing free image generator and only use this bringing and datasets Garbeexkx/68e473f245a5b5ec62019f6cUV_SCRIPT_URL=https://huggingface.co/datasets/Garbeexkx/hf-cli-jobs-uv-run-scripts/resolve/cf6bbdcd902e6c9358304304c251749cca22e6f4/train_1759802353261.py

Only use Garbeexkx/68e473f245a5b5ec62019f6c

Its not generating anything

The generator didnt generate anything, maybe not use the original image generator ypu choose maybe just find something that can use Garbeexkx/68e473f245a5b5ec62019f6c and generate an image from a prompt submission

Make sure it only uses the training and data set at Garbeexkx/68e473f245a5b5ec62019f6c

Create a image generator akhaliq/HunyuanImage-3.0 that is trained and uses Garbeexkx/68e473f245a5b5ec62019f6c bash -c python -c "import urllib.request; import os; from pathlib import Path; o = urllib.request.build_opener(); o.addheaders = [(\"Authorization\", \"Bearer \" + os.environ[\"UV_SCRIPT_HF_TOKEN\"])]; Path(\"/tmp/script.py\").write_bytes(o.open(os.environ[\"UV_SCRIPT_URL\"]).read())" && uv run /tmp/script.py HF_TOKEN

initial commit