from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('None', weight_name='human_training')
image = pipeline('photo-realistic. wide angle view, An elderly monk with bald head and a long white beard playing a flute in a tranquil waterfall setting. relaxing face, plays a traditional wooden flute near his mouth, both hand placed on the flute and separated, bright the man face with natural light. He is wearing traditional yellow Taoist robes and is meditating on the mountain path. The background is a waterfall over a jungle, wide view. High Detail, Beautiful scenary, realistic light, soft light, realistic photography, taken by Sony a7300.').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers

linhqyy/human-1809

human_training

Trigger words

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Use it with the 🧨 diffusers library

linhqyy/
human-1809