Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
surrealism
style
science-fiction
Instructions to use brushpenbob/Flux-surrealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use brushpenbob/Flux-surrealism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("brushpenbob/Flux-surrealism") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Flux surrealism

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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
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Model tree for brushpenbob/Flux-surrealism
Base model
black-forest-labs/FLUX.1-dev