import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("xmarkinmtlx/CLBVNTG_Ad_Tees")
prompt = "A vintage t-shirt design in the style of CLBVNTG featuring the words \"California Holiday\" at the top of the image in a script font. There is a woman on a beach with a sunset. There are signs that say \"Surf\" and \"Burger\". Underneath the image it says \"1952\" and \"O'Reilley Surf Supply Co U.S.A.\". The design is in a purple color."
image = pipe(prompt).images[0]CLBVNTG_Ad_Tees
- Prompt
- A vintage t-shirt design in the style of CLBVNTG featuring the words "California Holiday" at the top of the image in a script font. There is a woman on a beach with a sunset. There are signs that say "Surf" and "Burger". Underneath the image it says "1952" and "O'Reilley Surf Supply Co U.S.A.". The design is in a purple color.
- Prompt
- A vintage t-shirt design in the style of CLBVNTG featuring "Costa Rica" at the top in a blue font. Include two palm trees, and a woman in a hammock holding a bottle, with a sun and a beach. At the bottom write "Santa Teresa" and "Santeria Supply Co.".
Model description
A vintage t-shirt design lora
Trigger words
You should use A vintage t-shirt design in the style of CLBVNTG featuring to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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Base model
black-forest-labs/FLUX.1-dev