76 lines
2.2 KiB
Plaintext
76 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2dff8591-ce0f-49eb-a0a3-be24464bf06e",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install transformers ftfy torch accelerate\n",
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"!pip install --force-reinstall git+https://github.com/huggingface/diffusers.git\n",
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"!wget \"https://github.com/Cyberes/xformers-compiled/releases/download/A4000-Oct-28-2022/a4000-xformers-0.0.14.dev0-cp39-cp39-linux_x86_64.whl\" -O xformers-0.0.14.dev0-cp39-cp39-linux_x86_64.whl\n",
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"!pip install --force-reinstall xformers-0.0.14.dev0-cp39-cp39-linux_x86_64.whl"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b1282338-bee8-485d-8d05-0185d4d367c8",
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"metadata": {},
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"outputs": [],
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"source": [
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"source_img = '/notebooks/test.png'\n",
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"prompt = 'an image'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2a447d3d-e1d6-413c-89ac-d29bb74b0ab2",
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"metadata": {},
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"outputs": [],
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"source": [
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"pipeline = StableDiffusionUpscalePipeline.from_pretrained(\"stabilityai/stable-diffusion-x4-upscaler\", revision=\"fp16\", torch_dtype=torch.float16)\n",
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"pipeline.to(\"cuda\")\n",
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"pipeline.enable_attention_slicing()\n",
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"pipeline.enable_xformers_memory_efficient_attention()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a4e125e1-dad0-48b3-b535-117a47858ab7",
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"metadata": {},
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"outputs": [],
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"source": [
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"low_res_img = Image.open(source_img).convert(\"RGB\")\n",
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"low_res_img = low_res_img.resize((128, 128)) # Have to do this or OOM since there's a few bugs that need to be fixed\n",
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"upscaled_image = pipeline(prompt=prompt, image=low_res_img).images[0]\n",
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"upscaled_image.save(\"upsampled.png\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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