metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: wow owlbear
    output:
      url: samples/1725244073318__000001000_0.jpg
  - text: >-
      wow owlbear, feral, all fours, realistic, ultra, masterpiest . 35mm
      photograph, film, bokeh, professional, 4k, highly detailed
    output:
      url: samples/1725244135729__000001000_1.jpg
  - text: >-
      wow owlbear, using a macbook, in a cafe, realistic, ultra, masterpiest .
      35mm photograph, film, bokeh, professional, 4k, highly detailed
    output:
      url: samples/1725244212926__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: wow owlbear
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

owlbear

Model trained with AI Toolkit by Ostris

Prompt
wow owlbear, feral, all fours, realistic, ultra, masterpiest . 35mm photograph, film, bokeh, professional, 4k, highly detailed

Prompt
wow owlbear, using a macbook, in a cafe, realistic, ultra, masterpiest . 35mm photograph, film, bokeh, professional, 4k, highly detailed

Trigger words

You should use wow owlbear 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('yltylt/owlbear', weight_name='owlbear')
image = pipeline('wow owlbear').images[0]
image.save("my_image.png")

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