Text-to-Image
Diffusers
template:sd-lora
flux
lora
How to use from the
Use from the
Diffusers library
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("glif-loradex-trainer/12matt3r_SLUSHWAVESOCIALCLUB")

prompt = "“astral jellyfish orbiting a sleeping moon [SLUSHWAVE]”"
image = pipe(prompt).images[0]

SLUSHWAVESOCIALCLUB

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user 12matt3r.

Prompt
“astral jellyfish orbiting a sleeping moon [SLUSHWAVE]”
Prompt
“ghost standing at a payphone under purple streetlights [SLUSHWAVE]”
Prompt
“mirror lake inside a computer screen [SLUSHWAVE]”
Prompt
“an AI dreaming of childhood drawings [SLUSHWAVE]”
Prompt
“1980s arcade machine in the middle of a coral reef [SLUSHWAVE]”
Prompt
“CRT monitor displaying a portal to another dimension [SLUSHWAVE]”

Trigger words

You should use SLUSHWAVE to trigger the image generation.

Download model

Weights for this model are available in Safetensors format. Download them in the Files & versions tab.

License

This model is licensed under the flux-1-dev-non-commercial-license.

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