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("Veever/Test_Lora_face1")
prompt = "JPwrestler1"
image = pipe(prompt).images[0]Test_Lora_face1
Model description
test2
Trigger words
You should use JPwrestler1 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-fast-training.
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black-forest-labs/FLUX.1-dev