vovo_1724458765369_0d798ed1

Model overview

vovo_1724458765369_0d798ed1 is published by Arconte as a text-to-image LoRA. Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter. According to the model card, it was trained on Replicate and uses VOV as the trigger word.

Recorded capabilities

Use cases in the source record

• Subject-style text-to-image generation with FLUX.1-dev workflows that include the documented VOV trigger.
• Diffusers experiments that load lora.safetensors over the documented base model.

Limitations and unknowns

• No evaluation results were extracted from this record.
• No parameter count was extracted for this LoRA record.
• Provider state is historical snapshot data, not independently refreshed current availability.
• Training and subject details come from a brief publisher model card and have not been independently verified by Ethen.

Source and provenance

Source: Arconte/vovo_1724458765369_0d798ed1

Captured: Unknown. Processed: 2026-09-07T19:34:28.942129+00:00.

Vovo_1724458765369_0D798Ed1 Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use VOV to trigger the image generation. Use it with the 🧨 diffusers library from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained( 'black-forest-labs/FLUX.1-dev' , torch_dtype=torch.float16).to( 'cuda' ) pipeline.load_lora_weights( 'Arconte/vovo_1724458765369_0d798ed1' , weight_name= 'lora.safetensors' ) image = pipeline( 'your prompt' ).images[ 0 ] For more details, including weighting, merging and fusing LoRAs, check the documentation…