metadata

base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
  - autotrain
  - spacerunner
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: a photo of TOK, green field
    output:
      url: samples/1725623558630__000001000_0.jpg
  - text: a photo of TOK, surprised
    output:
      url: samples/1725623576001__000001000_1.jpg
  - text: a photo of TOK, sitting at a table with a plate of food in front of it
    output:
      url: samples/1725623593247__000001000_2.jpg
instance_prompt: a photo of TOK

fwog

Model trained with AI Toolkit by Ostris

Prompt
a photo of TOK, sitting at a table with a plate of food in front of it

Trigger words

You should use a photo of TOK 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-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('leo5imon/fwog', weight_name='fwog')
image = pipeline('a photo of TOK, green field').images[0]
image.save("my_image.png")

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