Instructions to use hacksider/deep-live-cam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hacksider/deep-live-cam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hacksider/deep-live-cam", 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
Commit History
-
Upload 52 files
Verified signature581e70b
-
Delete tensorrt
Verified signature0b97eb2 -
Upload 105 files
Verified signature1406c2b
-
Upload best_unet_model.onnx
Verified signature9c4c561
-
Upload 103 files
Verified signaturee1c6a60
-
Upload rife.onnx (#8)
- Upload rife.onnx (cbc13541c6fc5e5514a531262d37a1137e89e462) Co-authored-by: KRSHH <KRSHH@users.noreply.huggingface.co>0bdd6f4
-
Upload 35 files
Verified signature23fe898
-
Upload 32 files
Verified signatureb223e21
-
Upload 31 files
Verified signature180cc63
-
Upload 13 files
Verified signature9c262a2
-
Upload 5 files
Verified signature38d53a6 -
Upload 12 files
Verified signature633eccf
-
Upload insightface-0.7.3-cp310-cp310-win_amd64.whl
Verified signatureef04393
-
Upload inswapper_128_fp16.onnx
66dde5e
-
Files needed for Deep Face Cam
880944c -
initial commit
4006d87