metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe in the style of pasosart
    output:
      url: samples/1727682751598__000001000_0.jpg
  - text: >-
      woman with purple hair, wearing purple sunglasses, white and purple kimono
      looking at the camera with confidence, pink background in the style of
      pasosart
    output:
      url: images/example_iwtwv58sk.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: in the style of pasosart
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

pasosart-style

Model trained with AI Toolkit by Ostris

Prompt
A person in a bustling cafe in the style of pasosart

Prompt
woman with purple hair, wearing purple sunglasses, white and purple kimono looking at the camera with confidence, pink background in the style of pasosart

Prompt
girl with white hair, wearing specs, white and bluish dress thinking about something, applying lipstick, full portrait, light blue background, with water elements around her

Prompt
a girl holding a sword, she has white hair with a headband and eye band, she is wearing a black and white apparel with yellow design lines, white background, short hair in the style of pasosart

Trigger words

You should use in the style of pasosart 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('jayavibhav/pasosart-style', weight_name='pasosart-style')
image = pipeline('A person in a bustling cafe in the style of pasosart').images[0]
image.save("my_image.png")

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