colaloratest

Model trained with AI Toolkit by Ostris

Prompt

A frosty bottle of Coca-Cola, condensation glistening under warm lighting, sits proudly on a rustic wooden table. The iconic red label and cap contrast beautifully with the rich wooden tones. A neatly folded cloth rests beside it, adding a touch of refinement, while a softly lit background wall sets the perfect ambiance. colaLoraTest

Prompt

A chilled Coca-Cola bottle, ice-cold and dripping with condensation, stands at the center of a polished wooden table. The cap, freshly twisted off, lies beside it, inviting the first refreshing sip. A textured cloth drapes over the table’s edge, while the blurred background adds depth, enhancing the drink’s irresistible appeal. colaLoraTest

Prompt

A classic Coca-Cola glass bottle, its surface kissed by condensation, sits on a vintage wooden table. The red label shines under soft golden light, evoking timeless memories. To the side, a folded cloth adds a homely touch, while a warm-toned background wall creates a cozy, nostalgic atmosphere.

Trigger words

You should use colaLoraTest 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('Himanshu806/colaloratest', weight_name='colaloratest.safetensors')
image = pipeline('A frosty bottle of Coca-Cola, condensation glistening under warm lighting, sits proudly on a rustic wooden table. The iconic red label and cap contrast beautifully with the rich wooden tones. A neatly folded cloth rests beside it, adding a touch of refinement, while a softly lit background wall sets the perfect ambiance. colaLoraTest').images[0]
image.save("my_image.png")

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