Instructions to use dev9669/meinahentai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dev9669/meinahentai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dev9669/meinahentai", 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 dev9669/meinahentai: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/dev9669/meinahentai/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://dev9669/meinahentai/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/dev9669/meinahentai/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- f540ffc3a44070ec0cb035bafd839cf228659d287bdcd3754d7a125237dd46b9
- Size of remote file:
- 335 MB
- SHA256:
- 171bc68795e9a94dd11899fd9b9eba8eea5cd1bd7c912a27c0821bb177684e9f
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