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{
"cells": [
{
"cell_type": "code",
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"metadata": {},
"outputs": [],
"source": [
"from diffusers import AutoPipelineForText2Image\n",
"import torch"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
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{
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"text": [
"vae/diffusion_pytorch_model.safetensors not found\n"
]
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"text/plain": [
"Fetching 15 files: 0%| | 0/15 [00:00<?, ?it/s]"
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],
"source": [
"# model = \"CompVis/ldm-text2im-large-256\"\n",
"model = \"sd-dreambooth-library/colorful-ball\"\n",
"# model = \"stabilityai/sdxl-turbo\"\n",
"\n",
"pipeline_text2image = AutoPipelineForText2Image.from_pretrained(\n",
" model,\n",
" torch_dtype=torch.float16,\n",
")\n",
"pipeline_text2image = pipeline_text2image.to(\"cuda\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "gradio",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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