Instructions to use sghdev/avatarforge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sghdev/avatarforge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sghdev/avatarforge", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from sghdev/avatarforge: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/sghdev/avatarforge/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://sghdev/avatarforge/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/sghdev/avatarforge/resolve/main/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- de2f5d3a2c616affe68147787ddeba0c6a9a49d04ccef429e22af4a1df7aaf9e
- Size of remote file:
- 167 MB
- SHA256:
- cc19cda3b58c43da0785e7a49aaa845c022377a0ec4d2004af0c80155ea0552f
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