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("vincenthugging/flux-lora-leijun")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]flux lora leijun
Model description
Trigger words
You should use leijun to trigger the image generation.
Example
prompt
photo of leijun, black t-shirt with Logo of Xiaomi Company , face detailed, fit body,
looking at the viewer,holding a handwritten white sign with orange text that says, “Are you OK ?”,
light background,studio light
Result
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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Model tree for vincenthugging/flux-lora-leijun
Base model
black-forest-labs/FLUX.1-dev