Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
photorealistic
sexy
woman
actress
celebrity
girls
realistic
Instructions to use Keltezaa/amanda-seyfried-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/amanda-seyfried-flux with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Keltezaa/amanda-seyfried-flux") prompt = " beautiful detailed photograph, rosy lips, piercing green eyes, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Amanda Seyfried (Flux)

- Prompt
- beautiful detailed photograph, rosy lips, piercing green eyes, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling

- Prompt
- beautiful detailed photograph, rosy lips, piercing green eyes, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling

- Prompt
- beautiful detailed photograph, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling

- Prompt
- beautiful detailed photograph, rosy lips, piercing green eyes, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling

- Prompt
- beautiful detailed photograph, rosy lips, piercing green eyes, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling
(CivitAI)
Model description
Amanda Seyfried - Trained for Flux
Download model
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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/amanda-seyfried-flux', weight_name='Amanda_Seyfried_Flux.safetensors')
image = pipeline(' beautiful detailed photograph, rosy lips, piercing green eyes, blonde hair cascading over her shoulders, wearing a dress, standing in cafe looking at the viewer, smiling').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for Keltezaa/amanda-seyfried-flux
Base model
black-forest-labs/FLUX.1-dev