import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Moon-jack/Democratize-CSG", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]file structure:
checkpoints
├── DWPose
│ ├── dw-ll_ucoco_384.onnx
│ └── yolox_l.onnx
├── Animation
│ ├── pose_net.pth
│ ├── face_encoder.pth
│ └── unet.pth
├── stable-video-diffusion-img2vid-xt
│ ├── feature_extractor
│ ├── image_encoder
│ ├── scheduler
│ ├── unet
│ ├── vae
│ ├── model_index.json
│ ├── svd_xt.safetensors
│ └── svd_xt_image_decoder.safetensors
models
│ └── antelopev2
│ ├── 1k3d68.onnx
│ ├── 2d106det.onnx
│ ├── genderage.onnx
│ ├── glintr100.onnx
│ └── scrfd_10g_bnkps.onnx
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