Update app.py
Browse files
app.py
CHANGED
@@ -11,9 +11,9 @@ def generate_image(prompt, num_inference_steps):
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ckpt = "sdxl_lightning_2step_unet.safetensors" # Use the correct ckpt for your step setting!
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# Load model.
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unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("
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unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="
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pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to("
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# Ensure sampler uses "trailing" timesteps.
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pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
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ckpt = "sdxl_lightning_2step_unet.safetensors" # Use the correct ckpt for your step setting!
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# Load model.
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unet = UNet2DConditionModel.from_config(base, subfolder="unet").to(torch.device("cpu"), torch.float16)
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unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=torch.device("cpu")))
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pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to(torch.device("cpu"))
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# Ensure sampler uses "trailing" timesteps.
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pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
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