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fix CPU usage over CUDA #31

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fix CPU usage over CUDA #31

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6 changes: 3 additions & 3 deletions latent.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -377,11 +377,11 @@
" print(latent_diffusion_model)\n",
" model = instantiate_from_config(config.model)\n",
" if(latent_diffusion_model != \"finetuned\"):\n",
" sd = torch.load(ckpt, map_location=\"cuda\")[\"state_dict\"]\n",
" sd = torch.load(ckpt, map_location=device)[\"state_dict\"]\n",
" m, u = model.load_state_dict(sd, strict = False)\n",
" \n",
" if(latent_diffusion_model == \"finetuned\"): \n",
" sd = torch.load(f\"{model_path}/txt2img-f8-large-jack000-finetuned-fp16.ckpt\",map_location=\"cuda\")\n",
" sd = torch.load(f\"{model_path}/txt2img-f8-large-jack000-finetuned-fp16.ckpt\",map_location=device)\n",
" m, u = model.load_state_dict(sd, strict = False)\n",
" #model.model = model.model.half().eval().to(device)\n",
" \n",
Expand Down Expand Up @@ -410,7 +410,7 @@
" print(\"unexpected keys:\")\n",
" print(u)\n",
"\n",
" model.requires_grad_(False).half().eval().to('cuda')\n",
" model.requires_grad_(False).half().eval().to(device)\n",
" return model\n",
"\n",
"config = OmegaConf.load(\"./latent-diffusion/configs/latent-diffusion/txt2img-1p4B-eval.yaml\") # TODO: Optionally download from same location as ckpt and chnage this logic\n",
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