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("deepakc/flux_kitchen1_lora_ckpts")
prompt = "zqx kitchen"
image = pipe(prompt).images[0]flux_kitchen1_lora_ckpts
Model description
Trigger words
You should use zqx kitchen 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