Instructions to use onlineformapro/model_ckpts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use onlineformapro/model_ckpts with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("onlineformapro/model_ckpts", 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
| insightface_models/models/buffalo_l/1k3d68.onnx filter=lfs diff=lfs merge=lfs -text | |
| insightface_models/models/buffalo_l/2d106det.onnx filter=lfs diff=lfs merge=lfs -text | |
| insightface_models/models/buffalo_l/det_10g.onnx filter=lfs diff=lfs merge=lfs -text | |
| insightface_models/models/buffalo_l/genderage.onnx filter=lfs diff=lfs merge=lfs -text | |
| insightface_models/models/buffalo_l/w600k_r50.onnx filter=lfs diff=lfs merge=lfs -text | |
| sd-vae-ft-mse/diffusion_pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |
| v-express/audio_projection.pth filter=lfs diff=lfs merge=lfs -text | |
| v-express/denoising_unet.pth filter=lfs diff=lfs merge=lfs -text | |
| v-express/motion_module.pth filter=lfs diff=lfs merge=lfs -text | |
| v-express/reference_net.pth filter=lfs diff=lfs merge=lfs -text | |
| v-express/v_kps_guider.pth filter=lfs diff=lfs merge=lfs -text | |
| wav2vec2-base-960h/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text | |