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metadata
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

Prompt
A 12k man and is baby from Congo the 70s in style of Studio Pellosh
Prompt
A 8k picture of a family from Congo the 70s in style of Studio Pellosh
Prompt
A 8k high resolution black and white picture of an happy family in a car from Congo the 70s in style of Studio Pellosh

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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