Last active
July 29, 2023 20:43
-
-
Save varunshenoy/380722906b8ff184569af57e06fd37b7 to your computer and use it in GitHub Desktop.
An extension for Opendream that provides an operation for ControlNet with OpenPose preprocessing. Read more here: https://huggingface.co/lllyasviel/sd-controlnet-openpose
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import torch | |
from diffusers import UniPCMultistepScheduler, ControlNetModel, StableDiffusionControlNetPipeline | |
from opendream import opendream | |
from opendream.layer import ImageLayer, Layer | |
from controlnet_aux import OpenposeDetector | |
@opendream.define_op | |
def controlnet_openpose(control_image_layer: ImageLayer, prompt, device: str = "cpu", model_ckpt: str = "runwayml/stable-diffusion-v1-5", batch_size = 1, seed = 42, selected = 0, num_steps = 20, **kwargs): | |
openpose = OpenposeDetector.from_pretrained("lllyasviel/Annotators") | |
openpose_image = openpose(control_image_layer.get_image(), hand_and_face=True) | |
controlnet = ControlNetModel.from_pretrained("lllyasviel/sd-controlnet-openpose", torch_dtype=torch.float32) | |
pipe = StableDiffusionControlNetPipeline.from_pretrained( | |
model_ckpt, controlnet=controlnet, torch_dtype=torch.float32, safety_checker=None | |
).to(device) | |
pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config) | |
if device == "cuda": | |
pipe.enable_xformers_memory_efficient_attention() | |
pipe.enable_model_cpu_offload() | |
generator = [torch.Generator().manual_seed(seed + i) for i in range(batch_size)] | |
controlnet_image = pipe( | |
prompt, | |
openpose_image, | |
num_inference_steps=num_steps, | |
generator=generator, | |
).images[selected] | |
return Layer(image=controlnet_image) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment