tugan0329/flux-dev-yuchan

Flux Dev Yuchan

Prompt

A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile.

Prompt

A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile.

Prompt

A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile.

Prompt

A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile.

Prompt

A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile.

Prompt

A photo of a Chinese female YUCHAN, standing in front of Eiffel Tower wearing a sun hat, sunglasses, a blue and white striped shirt, and white arm sleeves. She wears a silver watch, and carries a white and red hand tote bag and is moderately far from camera. She has a soft smile.

Photos trained on my mom's photos

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use YUCHAN to trigger the image generation.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('tugan0329/flux-dev-yuchan', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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