---
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: 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
- text: >-
    A lone warrior stands in front of the camera, his piercing gaze locked
    forward with unwavering focus. He wears rugged leather armor with battle
    scars etched into the surface, and his posture is tall and imposing. The
    light hits him from the side, casting dramatic shadows that highlight his
    strong jawline and determined expression. Behind him, the blurred background
    fades into a soft, cool-toned cityscape, keeping the attention on his
    resolute face. The camera captures every detail of his appearance with
    stunning clarity, from the weathered texture of his armor to the subtle
    reflection in his intense eyes. In this cinematic shot, the warrior’s
    presence is commanding, exuding strength and confidence.
  output:
    url: images/example_r3d4xtqhj.png
- text: >-
    A commanding portrait of Napoleon Bonaparte in his iconic pose. The Emperor
    stands in the left third of the composition, following the rule of thirds.
    He's depicted in his famous bicorne hat, worn sideways, and his distinctive
    military uniform with gold epaulettes and decorations. Napoleon's right hand
    is tucked into his waistcoat, a classic gesture associated with him. His
    left hand rests on the pommel of his sword. His face bears a look of stern
    determination, with piercing eyes gazing directly at the viewer. The
    background evokes a grand interior of a French palace, with rich draperies
    and a glimpse of a gilt-framed mirror or painting on the right side. A
    ornate desk with maps and documents is partially visible, hinting at his
    strategic genius. The lighting is dramatic, casting strong shadows that
    emphasize Napoleon's features and create a sense of depth. The color palette
    is rich and warm, dominated by deep reds, golds, and imperial blues. The
    style mimics that of early 19th-century portraits, with a focus on realism
    and attention to detail in the fabric textures and facial features. The
    brushwork is fine and precise, creating a smooth, polished look
    characteristic of Neoclassical paintings. The overall atmosphere conveys
    power, authority, and the weight of empire, capturing Napoleon at the height
    of his influence and ambition. in the style of Zeyan
  output:
    url: images/example_9nv5qq8ws.png
instance_prompt: in the style of Zeyan

---

# zeyan-lora
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## 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](/liuhahi/zeyan-lora/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)