README.md

metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: fierce princess, white hair, looking up. in the style of TOK
    output:
      url: samples/1740141400616__000001000_1.jpg
  - text: fierce lion, red eyes. in the style of TOK
    output:
      url: samples/1740141429380__000001000_2.jpg
  - text: fierce panda king, sword. in the style of TOK
    output:
      url: images/example_rrk1vslci.png
  - text: a fierce deer samurai, battlefield. in the style of TOK
    output:
      url: images/example_xhq6z88qq.png
  - text: angry dark chicken, black and white, in the style of TOK
    output:
      url: images/example_coutth8xk.png
  - text: dark fierce llama. in the style of TOK
    output:
      url: images/example_2uqqt36t1.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

dark-pointillisme

Model trained with AI Toolkit by Ostris

Prompt

fierce princess, white hair, looking up. in the style of TOK

Prompt

fierce lion, red eyes. in the style of TOK

Prompt

fierce panda king, sword. in the style of TOK

Prompt

a fierce deer samurai, battlefield. in the style of TOK

Prompt

angry dark chicken, black and white, in the style of TOK

Prompt

dark fierce llama. 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/dark-pointillisme', weight_name='dark-pointillisme.safetensors')
image = pipeline('close-up of a white tiger, red eyes. 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