Text-to-Image
Diffusers
flux
lora
template:sd-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("elifergunes/background_1")

prompt = "[trigger], illustration of an outdoor camp setting, mountain and lucious trees with blue tent in foreground, cartoon style, vivid colors"
image = pipe(prompt).images[0]

background_flux_lora

Model trained with AI Toolkit by Ostris

Prompt
[trigger], illustration of an outdoor camp setting, mountain and lucious trees with blue tent in foreground, cartoon style, vivid colors
Prompt
[trigger], illustration of an indoor fireplace setting, seeing snowy landscape through the window, fireplace is burning and there are comfy chairs in the foreground, cartoon style, soft colors
Prompt
[trigger], illustration of an outdoor cemetry setting, spooky tombstones with cobwebs, reflecting the halloween spirit, cartoon style, vivid colors
Prompt
[trigger], illustration of an indoor work setting, many computers and desks next to each other, cartoon style, vivid colors

Trigger words

You should use b@ckground to trigger the image generation.

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Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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