Instructions to use CiroN2022/300serse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CiroN2022/300serse with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CiroN2022/300serse", 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 CiroN2022/300serse: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/CiroN2022/300serse/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://CiroN2022/300serse/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CiroN2022/300serse/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- cfee29abf84c2c90d472aa6776252b77f8f87b7fdf9322eb8d25d07efcaee26d
- Size of remote file:
- 246 MB
- SHA256:
- 745f805f794fe1e0b980757a651b11b3c99914764ba2940ce1ff03144723bc2b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.