Spaces:
Running
on
Zero
Running
on
Zero
File size: 2,362 Bytes
703e263 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
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
@staticmethod
def state_dict_converter():
return SDIpAdapterStateDictConverter()
class SDIpAdapterStateDictConverter(SDXLIpAdapterStateDictConverter):
def __init__(self):
pass
|