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_Asian_Tees")
prompt = "A vintage Asian t-shirt design in the style of CLBVNTG featuring a cat eating ramen noodles. The top text should be in Japanese. Write \"DIS ACEAEREAPER\" on the cup. The words \"URBAN FAST-FOOD DISCO JT\" are at the bottom."
image = pipe(prompt).images[0]CLBVNTG_Asian_Tees
- Prompt
- A vintage Asian t-shirt design in the style of CLBVNTG featuring a cat eating ramen noodles. The top text should be in Japanese. Write "DIS ACEAEREAPER" on the cup. The words "URBAN FAST-FOOD DISCO JT" are at the bottom.
Model description
A vintage t-shirt design lora
Trigger words
You should use A vintage Asian 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