Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -20,11 +20,10 @@ class dotdict(dict):
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class InferRunner:
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@spaces.GPU()
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def __init__(self, device):
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vae_config = json.load(open("ckpts/ldm/vae_config.json"))
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self.vae = AutoencoderKL(**vae_config).to(device)
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vae_weights = torch.load("ckpts/ldm/pytorch_model_vae.bin"
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self.vae.load_state_dict(vae_weights)
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train_args = dotdict(json.loads(open("ckpts/pico_model/summary.jsonl").readlines()[0]))
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@@ -37,7 +36,8 @@ class InferRunner:
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).eval().to(device)
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self.scheduler = DDPMScheduler.from_pretrained(train_args.scheduler_name, subfolder="scheduler")
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device = "cuda" if torch.cuda.is_available() else "cpu"
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runner = InferRunner(device)
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event_list = get_event()
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class InferRunner:
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def __init__(self, device):
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vae_config = json.load(open("ckpts/ldm/vae_config.json"))
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self.vae = AutoencoderKL(**vae_config).to(device)
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vae_weights = torch.load("ckpts/ldm/pytorch_model_vae.bin")
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self.vae.load_state_dict(vae_weights)
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train_args = dotdict(json.loads(open("ckpts/pico_model/summary.jsonl").readlines()[0]))
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).eval().to(device)
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self.scheduler = DDPMScheduler.from_pretrained(train_args.scheduler_name, subfolder="scheduler")
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#device = "cuda" if torch.cuda.is_available() else "cpu"
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device = "cuda"
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runner = InferRunner(device)
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event_list = get_event()
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