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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
Remove redundant IPAdapterXL class.
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91596d9527
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3f7d5b4e0f
@ -41,6 +41,8 @@ class ImageProjModel(torch.nn.Module):
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class IPAdapter:
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"""IP-Adapter: https://arxiv.org/pdf/2308.06721.pdf"""
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def __init__(self, unet: UNet2DConditionModel, image_encoder_path, ip_ckpt, device, num_tokens=4):
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self._unet = unet
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self.device = device
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@ -129,12 +131,6 @@ class IPAdapter:
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attn_processor.scale = scale
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class IPAdapterXL(IPAdapter):
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"""SDXL"""
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pass
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class IPAdapterPlus(IPAdapter):
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"""IP-Adapter with fine-grained features"""
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@ -28,7 +28,7 @@ from pydantic import Field
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from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
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from invokeai.app.services.config import InvokeAIAppConfig
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus, IPAdapterXL
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from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
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from invokeai.backend.stable_diffusion.diffusion.conditioning_data import (
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ConditioningData,
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IPAdapterConditioningInfo,
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@ -421,11 +421,7 @@ class StableDiffusionGeneratorPipeline(StableDiffusionPipeline):
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if ip_adapter_data is not None:
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# Initialize IPAdapter
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# TODO(ryand): Refactor to use model management for the IP-Adapter.
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if "sdxl" in ip_adapter_data.ip_adapter_model:
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ip_adapter = IPAdapterXL(
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self.unet, ip_adapter_data.image_encoder_model, ip_adapter_data.ip_adapter_model, self.unet.device
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)
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elif "plus" in ip_adapter_data.ip_adapter_model:
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if "plus" in ip_adapter_data.ip_adapter_model:
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ip_adapter = IPAdapterPlus(
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self.unet,
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ip_adapter_data.image_encoder_model,
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