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---
base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: Nikon Photography of a silver chrome concorde flying with the orange moon
in the background, night shot, clouds, 90s picture
output:
url: samples/1725310661815__000001000_0.jpg
instance_prompt: concorde
---
# concorde
<Gallery />
## Trigger words
You should use `concorde` to trigger the image generation.
## Prompt ideas
Generate an image of a Concorde with your name!
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/huggingface-meta/concorde/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
Warning: you need a CUDA-compatible hardware to run this code:
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('huggingface-meta/concorde', weight_name='concorde')
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
## WIP
An interface that let people use this HuggingFace space to collaboratively generate images of the Concorde, and curate the best images with an external model.
## Credit
Thanks to the AI Toolkit by [Ostris](https://github.com/ostris/ai-toolkit) for help with training.
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