Instructions to use SidXXD/AdvDM_Eps_16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/AdvDM_Eps_16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/AdvDM_Eps_16", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/AdvDM_Eps_16: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/AdvDM_Eps_16/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/AdvDM_Eps_16/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/AdvDM_Eps_16/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 165d4b49d82758d81b626846e41c46d29c4cd62b6eb3a08dc46f3d7685f94f0a
- Size of remote file:
- 76.7 MB
- SHA256:
- 1dd41dbd2a6321b12eb013cce9f530d3d61d68dd148532d69c2e071e227821ed
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