seawolf2357_test-bag4_tree.json

{
  "base_model": "seawolf2357/test-bag4",
  "tree": [
    {
      "model_id": "seawolf2357/test-bag4",
      "gated": "False",
      "card": "---\ntags:\n- text-to-image\n- flux\n- lora\n- diffusers\n- template:sd-lora\n- ai-toolkit\nwidget:\n-   text: a woman wearing a white shirt and black leggings, standing on a set of stairs\n        with a black Chanel bag in her hand. The background of the image is a building.\n        [trigger]\n    output:\n        url: samples/1728266939949__000001000_0.jpg\nbase_model: black-forest-labs/FLUX.1-dev\ninstance_prompt: handbag\nlicense: other\nlicense_name: flux-1-dev-non-commercial-license\nlicense_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md\n---\n\n# test-bag4\nModel trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)\n<Gallery />\n\n## Trigger words\n\nYou should use `handbag` to trigger the image generation.\n\n## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.\n\nWeights for this model are available in Safetensors format.\n\n[Download](/seawolf2357/test-bag4/tree/main) them in the Files & versions tab.\n\n## Use it with the [\ud83e\udde8 diffusers library](https://github.com/huggingface/diffusers)\n\n```py\nfrom diffusers import AutoPipelineForText2Image\nimport torch\n\npipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')\npipeline.load_lora_weights('seawolf2357/test-bag4', weight_name='test-bag4.safetensors')\nimage = pipeline('a woman wearing a white shirt and black leggings, standing on a set of stairs with a black Chanel bag in her hand. The background of the image is a building. [trigger]').images[0]\nimage.save(\"my_image.png\")\n```\n\nFor more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)\n\n",
      "metadata": "\"N/A\"",
      "depth": 0,
      "children": [],
      "children_count": 0,
      "adapters": [],
      "adapters_count": 0,
      "quantized": [],
      "quantized_count": 0,
      "merges": [],
      "merges_count": 0,
      "total_derivatives": 0,
      "spaces": [],
      "spaces_count": 0,
      "parents": [],
      "base_model": "seawolf2357/test-bag4",
      "base_model_relation": "base"
    }
  ]
}