Instructions to use glif-loradex-trainer/maxxd4240_PleinAir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/maxxd4240_PleinAir 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("glif-loradex-trainer/maxxd4240_PleinAir") prompt = "italian cafe P1e!n" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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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Model tree for glif-loradex-trainer/maxxd4240_PleinAir
Base model
black-forest-labs/FLUX.1-dev