metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      a boy wearing a hat and holding a fishing rod, sitting in a boat with a
      crocodile on it, surrounded by water and grass, with a sky full of clouds
      in the background.  in the style of TOK
    output:
      url: samples/1739543056428__000000800_1.jpg
  - text: >-
      Illustration card. A girl is playing with a miniature train set. in the
      style of TOK
    output:
      url: images/example_9xmc926py.png
  - text: >-
      Illustration of a girl drives a cute 2cv car over the road. in the style
      of TOK
    output:
      url: images/example_nnjcv0rki.png
  - text: >-
      Illustration card. a boy flying in an tiny airplane over the grass. in the
      style of TOK
    output:
      url: images/example_geha6pn5l.png
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: in the style of TOK
license: apache-2.0

cute-comic-800

Model trained with AI Toolkit by Ostris

Prompt
a boy wearing a hat and holding a fishing rod, sitting in a boat with a crocodile on it, surrounded by water and grass, with a sky full of clouds in the background. in the style of TOK

Prompt
Illustration card. A girl is playing with a miniature train set. in the style of TOK

Prompt
Illustration of a girl drives a cute 2cv car over the road. in the style of TOK

Prompt
Illustration card. a boy flying in an tiny airplane over the grass. in the style of TOK

Trigger words

You should use in the style 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('fffiloni/cute-comic-800', weight_name='cute-comic-800.safetensors')
image = pipeline('a girl sitting under a tree in the style of TOK').images[0]
image.save("my_image.png")

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