Instructions to use Moon-jack/Democratize-CSG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Moon-jack/Democratize-CSG with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
File size: 851 Bytes
ac95991 61712a3 3ac47b8 61712a3 3ac47b8 ac95991 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | ---
license: apache-2.0
---
file structure:
```shell
checkpoints
βββ DWPose
βΒ βββ dw-ll_ucoco_384.onnx
βΒ Β βββ yolox_l.onnx
βββ Animation
βΒ Β βββ pose_net.pth
βΒ Β βββ face_encoder.pth
βΒ Β βββ unet.pth
βββ stable-video-diffusion-img2vid-xt
βΒ Β βββ feature_extractor
βΒ Β βββ image_encoder
βΒ Β βββ scheduler
βΒ Β βββ unet
βΒ Β βββ vae
βΒ Β βββ model_index.json
βΒ Β βββ svd_xt.safetensors
βΒ Β βββ svd_xt_image_decoder.safetensors
models
β βββ antelopev2
βΒ Β βββ 1k3d68.onnx
βΒ Β βββ 2d106det.onnx
βΒ Β βββ genderage.onnx
βΒ Β βββ glintr100.onnx
βΒ Β βββ scrfd_10g_bnkps.onnx
```
Refer to: https://github.com/MPI-Lab/Democratizing-CSG |