metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - surrealism
  - style
  - science-fiction
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: evangsurreal
widget:
  - text: ' '
    output:
      url: 26239492.jpeg
  - text: ' '
    output:
      url: 26239601.jpeg
  - text: ' '
    output:
      url: 26243033.jpeg
  - text: ' '
    output:
      url: 26239643.jpeg
  - text: ' '
    output:
      url: 26239490.jpeg
  - text: ' '
    output:
      url: 26239599.jpeg
  - text: ' '
    output:
      url: 26239600.jpeg
  - text: ' '
    output:
      url: 26239491.jpeg

Flux surrealism

Model description

Small batch of surrealist art and some science fiction photos will try to expand the dataset later

Trigger words

You should use evangsurreal to trigger the image generation.

Download model

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.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/flux-surrealism', weight_name='Flux_surrealism.safetensors')
image = pipeline('`evangsurreal`').images[0]

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