Diffusers
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jhj0517/MusePose", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

All models related to MusePose.

MusePose

There're 4 trained models for musepose

  • denoising_unet.pth
  • motion_module.pth
  • pose_guider.pth
  • reference_unet.pth

DWPose

  • dw-ll_ucoco_384.pth

YoloX

  • yolox_l_8x8_300e_coco.pth

sd-image-variations-diffusers

  • sd-image-variations-diffusers
  • image_encoder

sd-vae-ft-mse

  • sd-vae-ft-mse
Downloads last month
-
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support