john

Model overview

john is published by JhnMrrw as a diffusers 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 with the ostris flux-dev-lora-trainer, uses john to trigger generation, and includes a diffusers loading example.

Recorded capabilities

Use cases in the source record

• Text-to-image generation on the tagged FLUX.1-dev base using the documented john trigger.
• Diffusers workflows that load the FLUX.1-dev base with AutoPipelineForText2Image and apply lora.safetensors.

Limitations and unknowns

• No evaluation results were extracted from this record.
• No parameter count was extracted for this LoRA record.
• Training detail is limited to the publisher's Replicate trainer note and has not been independently verified by Ethen.
• Provider state is historical snapshot data, not independently refreshed current availability.

Source and provenance

Source: JhnMrrw/john

Captured: Unknown. Processed: 2026-09-07T19:35:06.784340+00:00.

John Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use john 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( 'JhnMrrw/john' , 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