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app demo

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wangshuai6
2025-04-11 19:40:27 +08:00
parent 4591692c30
commit 28d9af791d
1 changed files with 4 additions and 2 deletions
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app.py
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@@ -79,8 +79,10 @@ class Pipeline:
self.diffusion_sampler.guidance_interval_min = guidance_interval_min self.diffusion_sampler.guidance_interval_min = guidance_interval_min
self.diffusion_sampler.guidance_interval_max = guidance_interval_max self.diffusion_sampler.guidance_interval_max = guidance_interval_max
self.diffusion_sampler.timeshift = timeshift self.diffusion_sampler.timeshift = timeshift
generator = torch.Generator(device="cuda").manual_seed(seed) generator = torch.Generator(device="cpu").manual_seed(seed)
xT = torch.randn((num_images, 4, self.resolution//8, self.resolution//8), device="cuda", dtype=torch.float32, generator=generator) xT = torch.randn((num_images, 4, self.resolution // 8, self.resolution // 8), device="cpu", dtype=torch.float32,
generator=generator)
xT = xT.to("cuda")
with torch.no_grad(): with torch.no_grad():
condition, uncondition = conditioner([self.classlabels2ids[y],]*num_images) condition, uncondition = conditioner([self.classlabels2ids[y],]*num_images)
# Sample images: # Sample images: