metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A girl in a flowers field, fluffy clouds. in the style of TOK
    output:
      url: samples/1740075062811__000000800_0.jpg
  - text: >-
      a girl pilot is flying a tiny yellow plane in fluffy clouds. in the style
      of TOK
    output:
      url: images/example_kn9b28cxn.png
  - text: happy chickens in a farm. in the style of TOK
    output:
      url: images/example_u5kp0dyhh.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: in the style of TOK
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

cozy-book-800

Model trained with AI Toolkit by Ostris

Prompt
A girl in a flowers field, fluffy clouds. in the style of TOK

Prompt
a girl pilot is flying a tiny yellow plane in fluffy clouds. in the style of TOK

Prompt
happy chickens in a farm. in the style of TOK

Prompt
A blue frog on a water lily. in the style of TOK

Prompt
Albert Einstein. in the style of TOK

Prompt
Sleeping tiger. in the style of TOK

Prompt
Portrait of princess zelda in a black and gold dress. in the style of TOK

Prompt
Wild west gunslinger, male, wild west sheriff. in the style of TOK

Prompt
A dark blue dragon on top of a castle. 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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('fffiloni/cozy-book-800', weight_name='cozy-book-800.safetensors')
image = pipeline('A girl in a flowers field, fluffy clouds. 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