metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A seal plays with a ball on the beach, [trigger] style.
    output:
      url: samples/1726720631412__000002000_0.jpg
  - text: A church in a field on a sunny day, [trigger] style.
    output:
      url: samples/1726720649927__000002000_1.jpg
  - text: A clown at the circus rides on a zebra, [trigger] style.
    output:
      url: samples/1726720668456__000002000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ORANGEORIGAMI
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

OrangeOrigami

Model trained with AI Toolkit by Ostris

Prompt
A seal plays with a ball on the beach, [trigger] style.

Prompt
A church in a field on a sunny day, [trigger] style.

Prompt
A clown at the circus rides on a zebra, [trigger] style.

Trigger words

You should use ORANGEORIGAMI 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('uwcc/OrangeOrigami', weight_name='OrangeOrigami')
image = pipeline('A seal plays with a ball on the beach, [trigger] style.').images[0]
image.save("my_image.png")

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