from sentence_transformers import SentenceTransformer
model = SentenceTransformer("Hyphonical/Qwen3-VL-Embedding-2B-NSFW")
sentences = [
"A muscular, nude man with big, veiny cock and large pecs flexes his biceps and traps while his bara chest, complete with visible male nipples and pubic hair, rises and falls with a hard erection.",
"./Images/12604035.jpg",
"./Images/11882380.jpg",
"./Images/12535412.jpg",
"./Images/12450474.jpg",
"./Images/12604909.jpg"
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [6, 6]
Not-For-All-Audiences
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from sentence_transformers import SentenceTransformer model = SentenceTransformer("Hyphonical/Qwen3-VL-Embedding-2B-NSFW") sentences = [ "A muscular, nude man with big, veiny cock and large pecs flexes his biceps and traps while his bara chest, complete with visible male nipples and pubic hair, rises and falls with a hard erection.", "./Images/12604035.jpg", "./Images/11882380.jpg", "./Images/12535412.jpg", "./Images/12450474.jpg", "./Images/12604909.jpg" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [6, 6]