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/zooey-deschanel")
prompt = " "
image = pipe(prompt).images[0]Zooey Deschanel
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- portrait of Zooey Deschanel shot on a Hasselblad H3D-39. she is wearing a light summer dress at the beach in Italy
Model description
Trained on 15 Images for 2500 Steps
Trigger words
You should use Zooey Deschanel to trigger the image generation.
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/zooey-deschanel', weight_name='Zooey_Deschanel_v1.safetensors')
image = pipeline('portrait of Zooey Deschanel shot on a Hasselblad H3D-39. she is wearing a light summer dress at the beach in Italy').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/zooey-deschanel
Base model
black-forest-labs/FLUX.1-dev