nick2

Model overview

nick2 is published by ProfParadox 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 uses the NICK trigger and was trained with the linked Replicate LoRA trainer.

Recorded capabilities

Use cases in the source record

• Subject-style text-to-image generation with FLUX.1-dev workflows that include the documented NICK trigger.
• Diffusers experiments that load lora.safetensors onto the FLUX.1-dev pipeline.

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 output details come from a brief publisher model card and have not been independently verified by Ethen.

Source and provenance

Source: ProfParadox/nick2

Captured: Unknown. Processed: 2026-09-07T19:34:35.783919+00:00.

Nick2 --> Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use NICK 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( 'ProfParadox/nick2' , weight_name= 'lora.safetensors' ) image = pipeline( 'your prompt' ).images[ 0 ] For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers