WardGo/Wardg_lora_us

wardg_flux_lora3

Model trained with AI Toolkit by Ostris

Prompt

[trigger] holding a sign that says 'I LOVE PROMPTS!'

Prompt

A person in a bustling cafe wardg

Prompt

wardg, sitting in a warm and cozy cafe

Prompt

[trigger] standing in a field of sunflowers during golden hour

Prompt

[trigger] wearing a leather jacket, leaning on a motorcycle

Prompt

[trigger] sitting on a bench reading a newspaper

Prompt

[trigger] wearing a suit and tie, presenting in front of a whiteboard

Prompt

[trigger] laughing while holding a cup of coffee in a cozy café

Prompt

[trigger] hiking through a misty forest with a backpack

Prompt

[trigger] painting on a canvas in a bright art studio

Prompt

[trigger] surfing a wave at sunset

Prompt

[trigger] working on a laptop in a modern office

Prompt

[trigger] wearing medieval armor, standing in a castle hallway

Prompt

[trigger] holding a birthday cake with lit candles

Prompt

[trigger] sitting on a rooftop at night looking at the city skyline

Prompt

[trigger] walking a dog in the park during autumn

Prompt

[trigger] standing confidently on a TEDx stage

Trigger words

You should use wardg 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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('WardGo/Wardg_lora_us', weight_name='wardg_flux_lora3.safetensors')
image = pipeline('[trigger] holding a sign that says 'I LOVE PROMPTS!'').images[0]
image.save("my_image.png")

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