metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe as an eery liminal space
    output:
      url: samples/1726133728958__000001000_0.jpg
  - text: The city of Paris as an eery liminal space
    output:
      url: samples/1726133758806__000001000_1.jpg
  - text: The interior of a MC Donalds as an eery liminal space
    output:
      url: samples/1726133788564__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: as an eery liminal space
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

eery-liminal-space

Model trained with AI Toolkit by Ostris

Prompt
The city of Paris as an eery liminal space

Prompt
The interior of a MC Donalds as an eery liminal space

Trigger words

You should use as an eery liminal space 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('multimodalart/eery-liminal-space', weight_name='eery-liminal-space')
image = pipeline('A person in a bustling cafe as an eery liminal space').images[0]
image.save("my_image.png")

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