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("chriswang2025/simple-tesfal")
prompt = "AldaraLora_Civitai_FLUX_Wave_V3_2000"
image = pipe(prompt).images[0]simple tesfal
Model description
111111
Trigger words
You should use AldaraLora_Civitai_FLUX_Wave_V3_2000 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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Base model
black-forest-labs/FLUX.1-dev