Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/13", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-250/optimizer.bin from SidXXD/13: direct link, hf CLI and curl.
- Browser
- Download file 457 MB
-
https://huggingface.co/SidXXD/13/resolve/main/checkpoint-250/optimizer.bin
- Command line
-
hf download hf://SidXXD/13/checkpoint-250/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/SidXXD/13/resolve/main/checkpoint-250/optimizer.bin
457 MB
- Xet hash:
- 14e1f4b878f355f31cfe8f40c7db014791599ee5657d8c295667ae6928c7fad0
- Size of remote file:
- 457 MB
- SHA256:
- 3c5894fca237c5fa228bb3dbbd8075437e6e610ef0409376b59cecaf4d10ee8b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.