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("theponpon/neoplant")
prompt = "the main object ([trigger]) is a lush, green potted plant with variegated leaves, housed in a textured, cylindrical white pot, standing upright and measuring approximately six inches in height"
image = pipe(prompt).images[0]neoplant
- Prompt
- the main object ([trigger]) is a lush, green potted plant with variegated leaves, housed in a textured, cylindrical white pot, standing upright and measuring approximately six inches in height
Trigger words
You should use VR_SPCL_BJCT 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
- 7
Model tree for theponpon/neoplant
Base model
black-forest-labs/FLUX.1-dev