|
--- |
|
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: A person in a bustling cafe in the style of Zeyan |
|
output: |
|
url: samples/1725700482960__000001500_0.jpg |
|
- text: A person playing football in the style of Zeyan |
|
output: |
|
url: samples/1725700500410__000001500_1.jpg |
|
- text: A person celebrating birthday in the style of Zeyan |
|
output: |
|
url: samples/1725700517623__000001500_2.jpg |
|
instance_prompt: in the style of Zeyan |
|
--- |
|
|
|
# zeyan-lora |
|
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) |
|
<Gallery /> |
|
|
|
## Trigger words |
|
|
|
You should use `in the style of Zeyan` 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](/liuhahi/zeyan-lora/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('liuhahi/zeyan-lora', weight_name='zeyan-lora') |
|
image = pipeline('A person in a bustling cafe in the style of Zeyan').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) |
|
|
|
|