Spaces:
Running
on
Zero
Running
on
Zero
from .svd_image_encoder import SVDImageEncoder | |
from .sdxl_ipadapter import IpAdapterImageProjModel, IpAdapterModule, SDXLIpAdapterStateDictConverter | |
from transformers import CLIPImageProcessor | |
import torch | |
class IpAdapterCLIPImageEmbedder(SVDImageEncoder): | |
def __init__(self): | |
super().__init__() | |
self.image_processor = CLIPImageProcessor() | |
def forward(self, image): | |
pixel_values = self.image_processor(images=image, return_tensors="pt").pixel_values | |
pixel_values = pixel_values.to(device=self.embeddings.class_embedding.device, dtype=self.embeddings.class_embedding.dtype) | |
return super().forward(pixel_values) | |
class SDIpAdapter(torch.nn.Module): | |
def __init__(self): | |
super().__init__() | |
shape_list = [(768, 320)] * 2 + [(768, 640)] * 2 + [(768, 1280)] * 5 + [(768, 640)] * 3 + [(768, 320)] * 3 + [(768, 1280)] * 1 | |
self.ipadapter_modules = torch.nn.ModuleList([IpAdapterModule(*shape) for shape in shape_list]) | |
self.image_proj = IpAdapterImageProjModel(cross_attention_dim=768, clip_embeddings_dim=1024, clip_extra_context_tokens=4) | |
self.set_full_adapter() | |
def set_full_adapter(self): | |
block_ids = [1, 4, 9, 12, 17, 20, 40, 43, 46, 50, 53, 56, 60, 63, 66, 29] | |
self.call_block_id = {(i, 0): j for j, i in enumerate(block_ids)} | |
def set_less_adapter(self): | |
# IP-Adapter for SD v1.5 doesn't support this feature. | |
self.set_full_adapter() | |
def forward(self, hidden_states, scale=1.0): | |
hidden_states = self.image_proj(hidden_states) | |
hidden_states = hidden_states.view(1, -1, hidden_states.shape[-1]) | |
ip_kv_dict = {} | |
for (block_id, transformer_id) in self.call_block_id: | |
ipadapter_id = self.call_block_id[(block_id, transformer_id)] | |
ip_k, ip_v = self.ipadapter_modules[ipadapter_id](hidden_states) | |
if block_id not in ip_kv_dict: | |
ip_kv_dict[block_id] = {} | |
ip_kv_dict[block_id][transformer_id] = { | |
"ip_k": ip_k, | |
"ip_v": ip_v, | |
"scale": scale | |
} | |
return ip_kv_dict | |
def state_dict_converter(): | |
return SDIpAdapterStateDictConverter() | |
class SDIpAdapterStateDictConverter(SDXLIpAdapterStateDictConverter): | |
def __init__(self): | |
pass | |