Instructions to use yulet1de/anything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yulet1de/anything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yulet1de/anything", 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 yulet1de/anything: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/yulet1de/anything/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://yulet1de/anything@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yulet1de/anything/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- f60b1784c5bf4d99500a3b26c3e32cdf80793503b6cec6615aefdad120a87365
- Size of remote file:
- 492 MB
- SHA256:
- 8d1524362379cb659b9f0bf9b8e4970cd2aea08a6657dbfd51606c64ebeec8ed
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