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("Texttra/Cityscape_Studio")
prompt = "c1t3, close up of severed head of a black woman with a fluorescent orange bob haircut with bangs and wearing amber square sunglasses, being held to the side, harsh fill in flash lighting, dark spooky forest background "
image = pipe(prompt).images[0]Cityscape
- Prompt
- c1t3, close up of severed head of a black woman with a fluorescent orange bob haircut with bangs and wearing amber square sunglasses, being held to the side, harsh fill in flash lighting, dark spooky forest background
- Prompt
- -
Model description
Begin the prompt with "C1t3"
End it with "wearing "wearing Large Amber Square Sunglasses"
Trigger words
You should use C1t3 to trigger the image generation.
You should use wearing Large Amber Square Sunglasses to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 5
Model tree for Texttra/Cityscape_Studio
Base model
black-forest-labs/FLUX.1-dev