Instructions to use huggingface-meta/concorde-airplane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use huggingface-meta/concorde-airplane 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("huggingface-meta/concorde-airplane") prompt = "Nikon Photography of a silver chrome concorde flying with the orange moon in the background, night shot, clouds, 90s picture" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
concorde-airplane
Model trained with AI Toolkit by Ostris

- Prompt
- Nikon Photography of a silver chrome concorde flying with the orange moon in the background, night shot, clouds, 90s picture
Trigger words
You should use conc0rde to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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.bfloat16).to('cuda')
pipeline.load_lora_weights('huggingface-meta/concorde-airplane', weight_name='concorde-airplane')
image = pipeline('Nikon Photography of a silver chrome concorde flying with the orange moon in the background, night shot, clouds, 90s picture').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
- Downloads last month
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Model tree for huggingface-meta/concorde-airplane
Base model
black-forest-labs/FLUX.1-dev