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
metadata
license: apache-2.0
file structure:
checkpoints
βββ DWPose
β βββ dw-ll_ucoco_384.onnx
β βββ yolox_l.onnx
βββ Animation
β βββ pose_net.pth
β βββ face_encoder.pth
β βββ unet.pth
βββ stable-video-diffusion-img2vid-xt
β βββ feature_extractor
β βββ image_encoder
β βββ scheduler
β βββ unet
β βββ vae
β βββ model_index.json
β βββ svd_xt.safetensors
β βββ svd_xt_image_decoder.safetensors
models
β βββ antelopev2
β βββ 1k3d68.onnx
β βββ 2d106det.onnx
β βββ genderage.onnx
β βββ glintr100.onnx
β βββ scrfd_10g_bnkps.onnx