Skip to content

EthenEthenEthen

Open Source Model Profile · Tina94

znakomiy

znakomiy is a text-to-image Flux LoRA from Tina94. Its model card documents the znakom trigger word and Replicate-based training for FLUX.1-dev workflows.

Publisher
Tina94
Task
text-to-image
Model type
Unknown
License
flux-1-dev-non-commercial-license
Library
diffusers
Publication status
Accepted · not indexed

Model overview

znakomiy is published by Tina94 as a text-to-image LoRA. Hub tags list diffusers, flux, and lora with 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 workflow.

Recorded capabilities

FLUX.1-dev base tags

Hub tags list black-forest-labs/FLUX.1-dev as base model and adapter, matching the card's loading snippet.

Documented znakom trigger

The model card says to use znakom to trigger image generation.

Diffusers loading snippet

The card documents diffusers AutoPipelineForText2Image usage with lora.safetensors over the documented base.

Use cases in the source record

  • Text-to-image generation with FLUX.1-dev workflows that include the documented znakom trigger.
  • Diffusers experiments that load lora.safetensors over black-forest-labs/FLUX.1-dev with AutoPipelineForText2Image.

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

Source and provenance

Source: Tina94/znakomiy

Captured: Unknown. Processed: 2026-09-07T19:35:16.488745+00:00.

Znakomiy Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use znakom 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( 'Tina94/znakomiy' , 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

F001F002F003F004F005F006F007F008F009F010