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("remybemy5/Elsa_Jean")
prompt = "<lora:Elsa_Jean_Flux:1> realistic photo of elsajean, blonde, braid, makeup, wearing a turtleneck sweater dress, sitting in a cafe having a coffee, smiling, looking at viewer. "
image = pipe(prompt).images[0]Elsa Jean
- Prompt
- <lora:Elsa_Jean_Flux:1> realistic photo of elsajean, blonde, braid, makeup, wearing a turtleneck sweater dress, sitting in a cafe having a coffee, smiling, looking at viewer.
- Prompt
- <lora:Elsa_Jean_Flux:1> realistic photo of elsajean, blonde, braid, makeup, wearing a turtleneck sweater dress, sitting in a cafe having a coffee, smiling, looking at viewer.
Trigger words
You should use elsajean to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Base model
black-forest-labs/FLUX.1-dev