How to use danbrown/testman-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danbrown/AnyLora-v1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("danbrown/testman-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0]
These are LoRA adaption weights for danbrown/AnyLora-v1. The weights were fine-tuned on the danbrown/testman-dataset dataset. You can find some example images in the following.
Base model
