Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
woman
celeb
celebrity
celebrity girl
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/katie-holmes-90-s")
prompt = " "
image = pipe(prompt).images[0]Katie Holmes 90's
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Model description
Katie Holmes. Circa 1998.
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/katie-holmes-90-s', weight_name='Katie_Holmes_90s.safetensors')
image = pipeline('Your custom prompt').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/katie-holmes-90-s
Base model
black-forest-labs/FLUX.1-dev