Instructions to use gfatigati/Dog-text-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gfatigati/Dog-text-encoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gfatigati/Dog-text-encoder", 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
- Xet hash:
- 941ba943d3f21d682cd5f9c0cc9bafc2837c47088a2e6cd97249c2a00b821858
- Size of remote file:
- 492 MB
- SHA256:
- bce86dcc5115176f27609b4c8a1ba7feab9a6463adaeb784848252293f6e03e2
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