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Open Source Model Profile · hovalover

kgtest38

kgtest38 is a text-to-image LoRA from hovalover. Its model card documents the trigger word kgtest38 and Replicate-based training for FLUX.1-dev workflows.

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

Model overview

kgtest38 is published by hovalover 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 and uses kgtest38 as the trigger word.

Recorded capabilities

Documented trigger word

The model card says to use kgtest38 to trigger image generation.

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.

Diffusers loading snippet

The model card documents diffusers AutoPipelineForText2Image usage with lora.safetensors.

Use cases in the source record

  • Text-to-image generation with FLUX.1-dev workflows that include the documented kgtest38 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 style information comes from a brief publisher model card and has not been independently verified by Ethen.

Source and provenance

Source: hovalover/kgtest38

Captured: Unknown. Processed: 2026-09-07T19:35:22.887050+00:00.

Kgtest38 Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use kgtest38 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( 'hovalover/kgtest38' , 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

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