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("ozocalan/urbanpark")
prompt = "a man posing in an urbanpark"
image = pipe(prompt).images[0]urbanpark
Model description
Where everything is made of concrete.
Trigger words
You should use urbanpark 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-general-training.
- Downloads last month
- 6
Model tree for ozocalan/urbanpark
Base model
black-forest-labs/FLUX.1-dev