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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: woman with red hair, playing chess at the park, bomb going off in the background
output:
url: samples/1757467036352__000004000_0.jpg
- text: a woman holding a coffee cup, in a beanie, sitting at a cafe
output:
url: samples/1757467041052__000004000_1.jpg
- text: a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights,
holding a martini
output:
url: samples/1757467045796__000004000_2.jpg
- text: a man showing off his cool new t shirt at the beach, a shark is jumping
out of the water in the background
output:
url: samples/1757467050464__000004000_3.jpg
- text: a bear building a log cabin in the snow covered mountains
output:
url: samples/1757467055138__000004000_4.jpg
- text: woman playing the guitar, on stage, singing a song, laser lights, punk rocker
output:
url: samples/1757467059819__000004000_5.jpg
- text: hipster man with a beard, building a chair, in a wood shop
output:
url: samples/1757467064515__000004000_6.jpg
- text: photo of a man, white background, medium shot, modeling clothing, studio
lighting, white backdrop
output:
url: samples/1757467069229__000004000_7.jpg
- text: a man holding a sign that says, 'this is a sign'
output:
url: samples/1757467073891__000004000_8.jpg
- text: a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket,
in a desert, with a motorcycle
output:
url: samples/1757467078567__000004000_9.jpg
base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
---
# KintsugiStat_schnell
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
No trigger words defined.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/uwcc/KintsugiStat_schnell/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('uwcc/KintsugiStat_schnell', weight_name='KintsugiStat_schnell.safetensors')
image = pipeline('woman with red hair, playing chess at the park, bomb going off in the background').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)
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