Jlonge4/jl-flux

tudor_flux_lora_v1

Model trained with AI Toolkit by Ostris

Prompt

Tudor Pelagos Ultra on dark mahogany surface, dramatic low-key lighting, extreme macro detail of titanium case

Prompt

Tudor Pelagos Ultra with orange accents, professional product photography, black leather backdrop

Prompt

Tudor Pelagos Ultra diving watch, underwater theme, bubbles and blue lighting effects

Prompt

Tudor Pelagos 42mm on leather strap, vintage patina background, warm golden lighting

Prompt

Tudor Pelagos 42 blue dial, macro shot of helium escape valve, professional lighting

Prompt

Tudor Pelagos 42 titanium case, minimalist composition, neutral grey backdrop

Prompt

Tudor Pelagos 39mm perfect wrist shot, natural skin tone, soft studio lighting

Prompt

Tudor Pelagos 39 blue dial and bezel, ocean-inspired backdrop, aquatic blue tones

Prompt

Tudor Pelagos 39 crown detail macro, side angle, professional product photography

Prompt

Tudor Black Bay burgundy bezel, vintage leather book backdrop, warm ambient lighting

Prompt

Tudor Black Bay snowflake hands detail, extreme macro focus, dramatic shadows

Prompt

Tudor Black Bay on aged leather strap, distressed wood surface, vintage aesthetic

Trigger words

No trigger words defined.

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('Jlonge4/jl-flux', weight_name='tudor_flux_lora_v1.safetensors')
image = pipeline('Tudor Pelagos Ultra on dark mahogany surface, dramatic low-key lighting, extreme macro detail of titanium case').images[0]
image.save("my_image.png")

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