assets_style_2_balanced

Model trained with AI Toolkit by Ostris

Prompt
bld5g style. A cozy pink house: rounded chubby walls, white-framed arched windows with warm glow inside, a small teal front door with a tiny golden knob, a sloped lavender shingle roof, a little brick chimney with a curl of smoke, two steps leading up, small round flower pots beside the entrance, soft ambient occlusion and gentle studio lighting, on a plain white background
Prompt
bld5g style. a small two-story building with large windows and a flat roof, on a plain white background
Prompt
bld5g style. a glazed ceramic teapot with a curved spout and rounded lid, on a plain white background
Prompt
bld5g style. a sleek two-door sports car in three-quarter front view, on a plain white background
Prompt
bld5g style. a red fox sitting upright with its tail curled around its paws, on a plain white background
Prompt
bld5g style. a wooden acoustic guitar with a warm natural finish and visible grain, on a plain white background

Trigger words

You should use bld5g style 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.2-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('busetolunay/assets-bld5g-style-balanced', weight_name='assets_style_2_balanced.safetensors')
image = pipeline('bld5g style. A cozy pink house: rounded chubby walls, white-framed arched windows with warm glow inside, a small teal front door with a tiny golden knob, a sloped lavender shingle roof, a little brick chimney with a curl of smoke, two steps leading up, small round flower pots beside the entrance, soft ambient occlusion and gentle studio lighting, on a plain white background').images[0]
image.save("my_image.png")

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

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