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
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Download README.md from Moon-jack/Democratize-CSG: direct link, hf CLI and curl.
- Browser
- Download file 851 Bytes
-
https://huggingface.co/Moon-jack/Democratize-CSG/resolve/main/README.md
- Command line
-
hf download hf://Moon-jack/Democratize-CSG/README.md
-
curl -L -o README.md https://huggingface.co/Moon-jack/Democratize-CSG/resolve/main/README.md
851 Bytes
| 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 |