Instructions to use satpalsr/customsd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satpalsr/customsd2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satpalsr/customsd2", 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 checkpoint-100/optimizer.bin from satpalsr/customsd2: direct link, hf CLI and curl.
- Browser
- Download file 10.6 GB
-
https://huggingface.co/satpalsr/customsd2/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://satpalsr/customsd2/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/satpalsr/customsd2/resolve/main/checkpoint-100/optimizer.bin
10.6 GB
- Xet hash:
- 8492cebb4ef1c6e38701a9f507887189c408d91e42ed7e0c92495b95096debb9
- Size of remote file:
- 10.6 GB
- SHA256:
- 4963fa9ec74db6e0a0575f74dddb4afae635bf7853d2fa93107f9db5896afc86
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.