| { | |
| "base_model": "seawolf2357/test-hood", | |
| "tree": [ | |
| { | |
| "model_id": "seawolf2357/test-hood", | |
| "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 model standing against a white background wearing a navy hooded sweatshirt\n with the text \"cgp\" printed on it. [trigger]\n output:\n url: examples/43725214-852c-441a-a8f9-8717f7ee9e11.png\nbase_model: black-forest-labs/FLUX.1-dev\ninstance_prompt: hood\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-hood\n<Gallery />\n\n## Trigger words\n\nYou should use `hood` 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-hood/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-hood', weight_name='test-hood.safetensors')\nimage = pipeline('a model standing against a white background wearing a navy hooded sweatshirt with the text \"cgp\" printed on it. [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", | |
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| "base_model": "seawolf2357/test-hood", | |
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