How to use gradjitta/anteater_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("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gradjitta/anteater_lora") prompt = "Portrait photo of dc_anttii_0" image = pipe(prompt).images[0]
You should use Portrait photo of dc_anttii_0 to trigger the image generation.
Portrait photo of dc_anttii_0
Base model
