metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe retrofuturereality
    output:
      url: samples/1730449588335__000001000_0.jpg
  - text: >-
      a white spaceship in the middle of a space station, with a watermark in
      the top right corner. The spaceship appears to be in the process of being
      built, as evidenced by the various tools and materials scattered around
      it. retrofuturereality
    output:
      url: samples/1730449604541__000001000_1.jpg
  - text: >-
      a man and woman standing next to each other in a room, smiling. The woman
      is wearing a necklace and the man is wearing formal dress. In the
      background, there are a number of people and lights retrofuturereality
    output:
      url: samples/1730449620769__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: retrofuturereality
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

retrofuturereality

Model trained with AI Toolkit by Ostris

Prompt
a white spaceship in the middle of a space station, with a watermark in the top right corner. The spaceship appears to be in the process of being built, as evidenced by the various tools and materials scattered around it. retrofuturereality

Prompt
a man and woman standing next to each other in a room, smiling. The woman is wearing a necklace and the man is wearing formal dress. In the background, there are a number of people and lights retrofuturereality

Trigger words

You should use retrofuturereality 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('life/retrofuturereality', weight_name='retrofuturereality.safetensors')
image = pipeline('A person in a bustling cafe retrofuturereality').images[0]
image.save("my_image.png")

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