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  1. .gitattributes +1 -0
  2. samples/unet_192x384_0.jpg +2 -2
  3. samples/unet_256x384_0.jpg +2 -2
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  9. src/sample.ipynb +34 -1
  10. tokenizer/added_tokens.json +3 -28
  11. tokenizer/special_tokens_map.json +3 -31
  12. tokenizer/tokenizer_config.json +3 -240
  13. tokenizer/vocab.json +0 -0
  14. unet/config.json +1 -1
  15. unet/diffusion_pytorch_model.safetensors +2 -2
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src/sample.ipynb CHANGED
@@ -276,9 +276,42 @@
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  },
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  {
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  "metadata": {},
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
 
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+ "outputs": [
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+ {
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+ "text": [
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+ "ok\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "import torch\n",
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+ "from diffusers import AutoencoderKL, UNet2DConditionModel, FlowMatchEulerDiscreteScheduler\n",
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+ "from transformers import AutoTokenizer, AutoModel\n",
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+ "from PIL import Image\n",
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+ "import math\n",
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+ "\n",
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+ "# ====== Настройки ======\n",
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+ "dtype = torch.float16\n",
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+ "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
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+ "\n",
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+ "unet = UNet2DConditionModel.from_pretrained( \"/workspace/sdxs3d\"#\"AiArtLab/sdxs3d\"\n",
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+ " , subfolder=\"unet\", torch_dtype=dtype\n",
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+ ").to(device).eval()\n",
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+ "\n",
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+ "unet.save_pretrained(\"/workspace/sdxs3d/unet\")\n",
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+ "print(\"ok\")"
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+ ]
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+ "execution_count": null,
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+ "id": "b08fbf66-8bd1-4a20-8715-0e748a07a932",
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+ "metadata": {},
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  "outputs": [],
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  "source": []
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  }
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