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("krizk093/latina10k")
prompt = "Valentina"
image = pipe(prompt).images[0]latina10k
Model description
10k
Trigger words
You should use Valentina 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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Model tree for krizk093/latina10k
Base model
black-forest-labs/FLUX.1-dev