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Running
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Zero
File size: 2,934 Bytes
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import os
from .clip_encoder import CLIPVisionTower
from .imagebind import ImageBindWrapper
from .open_clip_encoder import OpenCLIPVisionTower
from .siglip_encoder import SigLipVisionTower
from .clip_encoder import CLIPVisionTower, CLIPVisionTowerS2
from .eva_clip.eva_clip_encoder import EvaClipVisionTower
from .dev_eva_clip.eva_vit import EvaViTWrapper
from blip3o.model.nextdit_crossattn import NextDiTCrossAttnConfig, NextDiTCrossAttn
from diffusers.models import AutoencoderKL
from diffusers.schedulers import FlowMatchEulerDiscreteScheduler
def build_vision_tower(vision_tower_cfg, **kwargs):
vision_tower = getattr(vision_tower_cfg, 'mm_vision_tower', getattr(vision_tower_cfg, 'vision_tower', None))
is_absolute_path_exists = os.path.exists(vision_tower)
use_s2 = getattr(vision_tower_cfg, 's2', False)
if "siglip" in vision_tower:
return SigLipVisionTower(vision_tower, vision_tower_cfg=vision_tower_cfg, **kwargs)
if "eva" in vision_tower:
return EvaClipVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
if is_absolute_path_exists or vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower:
if use_s2:
return CLIPVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs)
else:
return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
raise ValueError(f'Unknown vision tower: {vision_tower}')
def build_gen_vision_tower(vision_tower_cfg, **kwargs):
vision_tower = getattr(vision_tower_cfg, 'gen_vision_tower')
is_absolute_path_exists = os.path.exists(vision_tower)
use_s2 = getattr(vision_tower_cfg, 's2', False)
if "siglip" in vision_tower:
return SigLipVisionTower(vision_tower, vision_tower_cfg=vision_tower_cfg, **kwargs)
if "eva" in vision_tower:
return EvaClipVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
if is_absolute_path_exists or vision_tower.startswith("openai") or vision_tower.startswith("laion") or "ShareGPT4V" in vision_tower:
if use_s2:
return CLIPVisionTowerS2(vision_tower, args=vision_tower_cfg, **kwargs)
else:
return CLIPVisionTower(vision_tower, args=vision_tower_cfg, **kwargs)
raise ValueError(f'Unknown vision tower: {vision_tower}')
def build_dit(vision_tower_cfg, **kwargs):
vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfolder="vae")
# vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae")
dit = NextDiTCrossAttn(NextDiTCrossAttnConfig())
noise_scheduler = FlowMatchEulerDiscreteScheduler.from_pretrained("Alpha-VLLM/Lumina-Next-SFT-diffusers", subfolder="scheduler")
# scheduler = FlowMatchEulerDiscreteScheduler.from_pretrained("Alpha-VLLM/Lumina-Next-SFT-diffusers", subfolder="scheduler")
vae.eval()
vae.requires_grad_(False)
return dit, vae, noise_scheduler
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