Instructions to use Serafius/illustrationmodelbyvaha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Serafius/illustrationmodelbyvaha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Serafius/illustrationmodelbyvaha", 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 Serafius/illustrationmodelbyvaha: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Serafius/illustrationmodelbyvaha/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Serafius/illustrationmodelbyvaha/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Serafius/illustrationmodelbyvaha/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 06722052ff357a64c067bcb6300f14e12e4f471f27352d0c9f40db660e09bdb5
- Size of remote file:
- 492 MB
- SHA256:
- ad362b25b54cd5b883558562633e8fb18406deb1e54794f44052f1a9e7793a6b
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