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Open Source Model Profile · SWEETYKULLA

Radhikaleo

Radhikaleo is a text-to-image LoRA from SWEETYKULLA. Its model card documents the RADHIKA PANDIT trigger and Replicate-based training for FLUX.1-dev workflows.

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

Model overview

Radhikaleo is published by SWEETYKULLA 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 RADHIKA PANDIT as the trigger.

Recorded capabilities

RADHIKA PANDIT trigger

The model card says to use RADHIKA PANDIT 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 loading snippet.

Diffusers loading snippet

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

Use cases in the source record

  • Subject-style text-to-image generation with FLUX.1-dev workflows that include the documented RADHIKA PANDIT 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: SWEETYKULLA/Radhikaleo

Captured: Unknown. Processed: 2026-09-07T19:35:15.447788+00:00.

Radhikaleo Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train Trigger words You should use RADHIKA PANDIT 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( 'SWEETYKULLA/Radhikaleo' , 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 i…

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