metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A person in a bustling cafe retrofutureworld
output:
url: samples/1730402881802__000002000_0.jpg
- text: a 1950s fantastic movie man and woman retrofutureworld
output:
url: samples/1730402906290__000002000_1.jpg
- text: a 1950s fantastic movie like star-trek or star-wars retrofutureworld
output:
url: samples/1730402924439__000002000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: retrofutureworld
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
retrofutureworld
Model trained with AI Toolkit by Ostris

- Prompt
- A person in a bustling cafe retrofutureworld

- Prompt
- a 1950s fantastic movie man and woman retrofutureworld

- Prompt
- a 1950s fantastic movie like star-trek or star-wars retrofutureworld
Trigger words
You should use retrofutureworld
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/retrofutureworld', weight_name='retrofutureworld.safetensors')
image = pipeline('A person in a bustling cafe retrofutureworld').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers