metadata
base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: A person in a bustling cafe in the style of Zeyan
output:
url: samples/1725700482960__000001500_0.jpg
- text: A person playing football in the style of Zeyan
output:
url: samples/1725700500410__000001500_1.jpg
- text: A person celebrating birthday in the style of Zeyan
output:
url: samples/1725700517623__000001500_2.jpg
- text: Superman celebrating birthday in the style of Zeyan
output:
url: images/example_ydev0uaqs.png
- text: >-
Superman hovers majestically above a sprawling metropolis, his iconic red
cape billowing dramatically in the wind. Below, the city glistens with
towering skyscrapers and glowing lights as dusk settles in, casting long
shadows and a golden hue over the horizon. The perspective is cinematic,
with Superman in the foreground, his muscular frame exuding strength and
heroism. His eyes are set with determination, and his posture embodies the
weight of responsibility he carries. The sky behind him is stormy,
blending blues and grays, adding an epic, larger-than-life feel. In the
style of Zeyan
output:
url: images/example_yb8yv6x77.png
instance_prompt: in the style of Zeyan
zeyan-lora
Model trained with AI Toolkit by Ostris
Trigger words
You should use in the style of Zeyan
to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('liuhahi/zeyan-lora', weight_name='zeyan-lora')
image = pipeline('A person in a bustling cafe in the style of Zeyan').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers