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/maxxd4240_PleinAir")

prompt = "italian cafe P1e!n"
image = pipe(prompt).images[0]

PleinAir

Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user maxxd4240.

Prompt
italian cafe P1e!n
Prompt
london streets P1e!n
Prompt
statue of liberty P1e!n
Prompt
rice fields P1e!n
Prompt
hindu temple P1e!n
Prompt
buddha statue in templeP1e!n

Trigger words

You should use P1e!n 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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