Diffusers How to use Jonjew/GemmaChan 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("Jonjew/GemmaChan")
prompt = "The image is a promotional poster for the film \"FuHao,\" released in 2020. It features a close-up of a young woman with a serious, determined expression. She has long, dark hair that is slightly windblown, and her face is partially obscured by the blade of a sword. The sword is prominently displayed, running diagonally across the image from the left side to the right, and it is adorned with intricate, golden Chinese characters. The blade is a deep, rich red color, contrasting starkly with the woman's fair skin. She is wearing traditional Chinese clothing, specifically a red robe with intricate embroidery, which adds to the cultural authenticity of the image. The background is a deep red hue, giving the entire image a dramatic and intense feel. The poster also prominently displays the \"SD\" logo in yellow at the bottom, with the release date \"2020.4.24\" in Chinese characters. The overall style of the poster is cinematic and visually striking, capturing the essence of the film's themes and characters.,Gemma_Chan,<lora:Gemma_Chan_Flux_V1-000002:1>"
image = pipe(prompt).images[0] 
