File size: 1,413 Bytes
25fad07 |
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 |
from ldm_patched.modules.model_base import BaseModel
from ldm_patched.modules import model_management
from ldm_patched.modules.sd import CLIPType
import ldm_patched.modules.utils
class SD3ModelConfig:
def __init__(self):
self.name = 'SD3'
self.unet_config = {
"in_channels": 16,
"pos_embed_scaling_factor": None,
}
self.latent_format = "SD3"
def get_model(self, state_dict, prefix="model.diffusion_model.", device=None):
if device is None:
device = model_management.get_torch_device()
shift = 3.0 # SD3 specific shift value
return BaseModel(shift=shift, state_dict=state_dict, prefix=prefix, device=device)
def process_clip_state_dict(self, state_dict):
clip_l = ldm_patched.modules.utils.state_dict_prefix_replace(state_dict, {"clip_l.": ""})
clip_g = ldm_patched.modules.utils.state_dict_prefix_replace(state_dict, {"clip_g.": ""})
t5xxl = ldm_patched.modules.utils.state_dict_prefix_replace(state_dict, {"t5xxl.": ""})
return {"clip_l": clip_l, "clip_g": clip_g, "t5xxl": t5xxl}
def clip_target(self, state_dict=None):
from ldm_patched.modules.text_encoders import sd3_clip
clip_l = sd3_clip.SD1ClipModel(layer="hidden", layer_idx=-2)
clip_g = sd3_clip.SDXLClipG()
t5xxl = sd3_clip.T5XXLModel()
return (clip_l, clip_g, t5xxl) |