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Change image preprocessing resizing to use Pillow
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@ -528,7 +528,7 @@ with torch.no_grad():
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import torch
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from PIL import Image
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from refiners.fluxion.utils import load_from_safetensors, manual_seed, no_grad, image_to_tensor, interpolate
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from refiners.fluxion.utils import load_from_safetensors, manual_seed, no_grad, image_to_tensor
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from refiners.foundationals.latent_diffusion.lora import SDLoraManager
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from refiners.foundationals.latent_diffusion.stable_diffusion_xl import StableDiffusion_XL, SDXLT2IAdapter
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from refiners.foundationals.latent_diffusion.stable_diffusion_xl.image_prompt import SDXLIPAdapter
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@ -586,9 +586,8 @@ with torch.no_grad():
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clip_image_embedding = ip_adapter.compute_clip_image_embedding(ip_adapter.preprocess_image(image_prompt))
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ip_adapter.set_clip_image_embedding(clip_image_embedding)
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condition = image_to_tensor(image_depth_condition.convert("RGB"), device=sdxl.device, dtype=sdxl.dtype)
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# Spatial dimensions should be divisible by default downscale factor (=16 for T2IAdapter ConditionEncoder)
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condition = interpolate(condition, torch.Size((1024, 1024)))
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condition = image_to_tensor(image_depth_condition.convert("RGB").resize((1024, 1024)), device=sdxl.device, dtype=sdxl.dtype)
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t2i_adapter.set_condition_features(features=t2i_adapter.compute_condition_features(condition))
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manual_seed(seed=seed)
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