How to use 0selim/db_rank64_with_te with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("0selim/db_rank64_with_te") prompt = "a tgra symbol" image = pipe(prompt).images[0]
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