---
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: 'Phoebe in a bustling cafe '
  output:
    url: samples/1726858519249__000001000_0.jpg
- text: A man sees Phoebe
  output:
    url: samples/1726858525867__000001000_1.jpg
- text: among the group phoebe was most interesting among them
  output:
    url: samples/1726858532164__000001000_2.jpg
- text: among the group phoebe was most interesting among them
  output:
    url: images/example_oo6dp1yb9.png
instance_prompt: phoebe

---

# phoebe-combes
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

You should use `phoebe` 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](/batmandelbrot/phoebe-combes/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```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('batmandelbrot/phoebe-combes', weight_name='phoebe-combes')
image = pipeline('Phoebe in a bustling cafe ').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)