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("IronFelix/vector001")
prompt = "vector001 A simple vector illustration of a female speaker in office clothes gives a report to a room with seated spectators. The speaker points to a white screen on which a bright financial histogram showing financial growth is visible.. black, white, cyan, <lora:vector001:1.5>"
image = pipe(prompt).images[0]vector001
- Prompt
- vector001 A simple vector illustration of a female speaker in office clothes gives a report to a room with seated spectators. The speaker points to a white screen on which a bright financial histogram showing financial growth is visible.. black, white, cyan, <lora:vector001:1.5>
Model description
Trigger words
You should use vector001 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
- 1
Model tree for IronFelix/vector001
Base model
black-forest-labs/FLUX.1-dev