metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: tbgs in a park surrounded by animals
    output:
      url: samples/1725937585509__000002323_0.jpg
  - text: tbgs in a park surrounded by animals
    output:
      url: samples/1725937619207__000002323_1.jpg
  - text: tbgs in a park surrounded by animals
    output:
      url: samples/1725937653805__000002323_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: tbgs
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md

tbgs

Model trained with AI Toolkit by Ostris

Trigger words

You should use tbgs to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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.bfloat16).to('cuda')
pipeline.load_lora_weights('ronnykhalil/tbgs', weight_name='tbgs')
image = pipeline('tbgs in a park surrounded by animals').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers