Instructions to use kashif/EfficientNetEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kashif/EfficientNetEncoder with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kashif/EfficientNetEncoder", 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
File size: 151 Bytes
71216fd | 1 2 3 4 5 6 7 8 | {
"_class_name": "EfficientNetEncoder",
"_diffusers_version": "0.22.0.dev0",
"c_cond": 1280,
"c_latent": 16,
"effnet": "efficientnet_v2_s"
}
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