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Reduce VRAM 11GB -> 6.5GB #28

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Reduce VRAM 11GB -> 6.5GB #28

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14 changes: 12 additions & 2 deletions sd/demo.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@
"import torch\n",
"\n",
"DEVICE = \"cpu\"\n",
"IDLE_DEVICE = \"cpu\"\n",
"\n",
"ALLOW_CUDA = False\n",
"ALLOW_MPS = False\n",
Expand All @@ -29,7 +30,9 @@
"\n",
"tokenizer = CLIPTokenizer(\"../data/vocab.json\", merges_file=\"../data/merges.txt\")\n",
"model_file = \"../data/v1-5-pruned-emaonly.ckpt\"\n",
"models = model_loader.preload_models_from_standard_weights(model_file, DEVICE)\n",
"models = model_loader.preload_models_from_standard_weights(\n",
" model_file, DEVICE, IDLE_DEVICE\n",
")\n",
"\n",
"## TEXT TO IMAGE\n",
"\n",
Expand Down Expand Up @@ -67,13 +70,20 @@
" seed=seed,\n",
" models=models,\n",
" device=DEVICE,\n",
" idle_device=\"cpu\",\n",
" idle_device=IDLE_DEVICE,\n",
" tokenizer=tokenizer,\n",
")\n",
"\n",
"# Combine the input image and the output image into a single image.\n",
"Image.fromarray(output_image)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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4 changes: 2 additions & 2 deletions sd/model_loader.py
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Original file line number Diff line number Diff line change
Expand Up @@ -5,8 +5,8 @@

import model_converter

def preload_models_from_standard_weights(ckpt_path, device):
state_dict = model_converter.load_from_standard_weights(ckpt_path, device)
def preload_models_from_standard_weights(ckpt_path, device, idle_device):
state_dict = model_converter.load_from_standard_weights(ckpt_path, idle_device)

encoder = VAE_Encoder().to(device)
encoder.load_state_dict(state_dict['encoder'], strict=True)
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2 changes: 2 additions & 0 deletions sd/pipeline.py
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Original file line number Diff line number Diff line change
Expand Up @@ -149,6 +149,8 @@ def generate(
# (Batch_Size, Channel, Height, Width) -> (Batch_Size, Height, Width, Channel)
images = images.permute(0, 2, 3, 1)
images = images.to("cpu", torch.uint8).numpy()

torch.cuda.empty_cache()
return images[0]

def rescale(x, old_range, new_range, clamp=False):
Expand Down