Instructions to use gsdf/Replicant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gsdf/Replicant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gsdf/Replicant", 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 sample_06.png from gsdf/Replicant: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/gsdf/Replicant/resolve/main/sample_06.png
- Command line
-
hf download hf://gsdf/Replicant/sample_06.png
-
curl -L -o sample_06.png https://huggingface.co/gsdf/Replicant/resolve/main/sample_06.png
3.58 MB

- Xet hash:
- 5ec9e6ae39f10948eff15f9afbe49b952ebff557e779a56af1123d3d9aa8e8d9
- Size of remote file:
- 3.58 MB
- SHA256:
- 8356fd5a267d5114d1d388d0bc30a6090c49f8ba35341d0317631da50dfbe3f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.