How to use elvis92/pets_rank_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("elvis92/pets_rank_2") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/en/api/activations.md
hf download hf://elvis92/pets_rank_2/diffusers/docs/source/en/api/activations.md
curl -L -o activations.md https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/en/api/activations.md
Customized activation functions for supporting various models in 🤗 Diffusers.
[[autodoc]] models.activations.GELU
[[autodoc]] models.activations.GEGLU
[[autodoc]] models.activations.ApproximateGELU
