metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A person in a bustling cafe prvs
    output:
      url: samples/1725468801717__000001000_0.jpg
  - text: A beautiful young asian lady
    output:
      url: samples/1725468809438__000001000_1.jpg
  - text: A happy young male ceo
    output:
      url: samples/1725468817155__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: prvs
license: apache-2.0

portraitreal

Model trained with AI Toolkit by Ostris

Trigger words

You should use prvs 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('Vijish/portraitreal', weight_name='portraitreal')
image = pipeline('A person in a bustling cafe prvs').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers