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 text_encoder/pytorch_model.bin from dev9669/meinahentai: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dev9669/meinahentai/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dev9669/meinahentai/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dev9669/meinahentai/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 88f12937fae0b14b427814894bf9c5b3d2fbf2708849714bcb4b3df03c3838df
- Size of remote file:
- 492 MB
- SHA256:
- 8672a9c8ddd09b845409359a499c6d8fafa416ccfabd0a631957f0000cdc6e18
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