metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A young blonde woman in a bustling cafe atelier_prtrt
output:
url: samples/1735917294469__000007500_0.jpg
- text: A young man wearing a suit, a city in the background, atelier_prtrt
output:
url: samples/1735917308157__000007500_1.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: atelier_prtrt
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
atelierportraits
Model trained with AI Toolkit by Ostris
![](https://huggingface.co/Muhammadreza/atelierportraits/resolve/main/samples/1735917294469__000007500_0.jpg)
- Prompt
- A young blonde woman in a bustling cafe atelier_prtrt
![](https://huggingface.co/Muhammadreza/atelierportraits/resolve/main/samples/1735917308157__000007500_1.jpg)
- Prompt
- A young man wearing a suit, a city in the background, atelier_prtrt
Trigger words
You should use atelier_prtrt
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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Muhammadreza/atelierportraits', weight_name='atelierportraits.safetensors')
image = pipeline('A young blonde woman in a bustling cafe atelier_prtrt').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers