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Adding LooseControl Controlnet #224

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Adding LooseControl Controlnet #224

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6e6b37e
Merge pull request #1 from s9roll7/main
hassantsyed Dec 14, 2023
41a6aab
loose control integration
hassantsyed Jan 13, 2024
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24 changes: 21 additions & 3 deletions src/animatediff/generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,7 @@
EulerDiscreteScheduler,
StableDiffusionControlNetImg2ImgPipeline,
StableDiffusionPipeline, StableDiffusionXLPipeline)
from diffusers.loaders import UNet2DConditionLoadersMixin
from PIL import Image
from torchvision.datasets.folder import IMG_EXTENSIONS
from tqdm.rich import tqdm
Expand Down Expand Up @@ -71,7 +72,8 @@
"qr_code_monster_v1" : ['monster-labs/control_v1p_sd15_qrcode_monster'],
"qr_code_monster_v2" : ['monster-labs/control_v1p_sd15_qrcode_monster', 'v2'],
"controlnet_mediapipe_face" : ['CrucibleAI/ControlNetMediaPipeFace', "diffusion_sd15"],
"animatediff_controlnet" : [None, "data/models/controlnet/animatediff_controlnet/controlnet_checkpoint.ckpt"]
"animatediff_controlnet" : [None, "data/models/controlnet/animatediff_controlnet/controlnet_checkpoint.ckpt"],
"controlnet_loose" : ["data/models/controlnet/controlnet_loose/pytorch_lora_weights.safetensors"]
}

# Edit this table if you want to change to another controlnet checkpoint
Expand Down Expand Up @@ -118,7 +120,17 @@
onnxruntime_installed = False



def attach_loaders_mixin(model):
# hacky way to make ControlNet work with LoRA. This may not be required in future versions of diffusers.
model.text_encoder_name = "text_encoder"
model.unet_name = "unet"
# mixin_instance = UNet2DConditionLoadersMixin()
for attr_name, attr_value in vars(UNet2DConditionLoadersMixin).items():
# print(attr_name)
if callable(attr_value):
# setattr(model, attr_name, functools.partialmethod(attr_value, model).__get__(model, model.__class__))
setattr(model, attr_name, partial(attr_value, model))
return model

logger = logging.getLogger(__name__)

Expand Down Expand Up @@ -322,7 +334,13 @@ def create_controlnet_model(pipe, type_str, is_sdxl):
addr = controlnet_address_table[type_str]
if addr[0] != None:
if len(addr) == 1:
return ControlNetModel.from_pretrained(addr[0], torch_dtype=torch.float16)
if type_str == "controlnet_loose":
cn = ControlNetModel.from_pretrained("lllyasviel/control_v11f1p_sd15_depth", torch_dtype=torch.float16)
cn = attach_loaders_mixin(cn)
cn.load_attn_procs(addr[0])
return cn
else:
return ControlNetModel.from_pretrained(addr[0], torch_dtype=torch.float16)
else:
return ControlNetModel.from_pretrained(addr[0], subfolder=addr[1], torch_dtype=torch.float16)
else:
Expand Down