README.md

---
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.