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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: A 12k man and is baby from Congo the 70s in style of Studio Pellosh
output:
url: samples/43b486c4-e7b3-47fb-b7dd-151796d6a36b.jpeg
- text: A 8k picture of a family from Congo the 70s in style of Studio Pellosh
output:
url: images/example_cjpj3hsq7.png
instance_prompt: people from congo in the 70s in style of Studio Pellosh
---
# studiopellosh
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `people from congo in the 70s in style of Studio Pellosh` 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](/Svngoku/studiopellosh/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('Svngoku/studiopellosh', weight_name='studiopellosh')
image = pipeline('A person 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)
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