metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      President of the USA - Morgenstern, real photo, 26K, perfect face, rainbow
      suit, orange hair color
    output:
      url: samples/1737569817133__000001881_0.jpg
  - text: Morgenstern as SWAT, real photo, 26K, happy face, purple hair color
    output:
      url: samples/1737569847006__000001881_1.jpg
  - text: >-
      Morgenstern as world famous rapper, real photo, 26K, happy face, red hair
      color, brown suit
    output:
      url: samples/1737569876463__000001881_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Morgenstern
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

morgenstern

Prompt
Morgenstern as world famous rapper, real photo, 26K, happy face, red hair color, brown suit

Trigger words

You should use Morgenstern 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('openfree/morgenstern', weight_name='morgenstern.safetensors')
image = pipeline('President of the USA - Morgenstern, real photo, 26K, perfect face, rainbow suit, orange hair color').images[0]
image.save("my_image.png")

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