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
- Draw Things
- DiffusionBee

- Xet hash:
- 92ea7a8e46c1ab7f830dfebb112cd5ccd5cc877fd945d9bd360a3a87245cea80
- Size of remote file:
- 7.33 MB
- SHA256:
- 8ee91b3dbf893ac59634f887e1d064aaadabb864c5fbc9671ce669c96f63b95c
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