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("TheWorstIsNot/isabelamerced")
prompt = "Instagram photo of a woman sitting at a table wearing a light grey sweatshirt with green polka-dots on it, holding a sign that has the writing \"Welcome to FLUX!!\" written on it. She is looking at the camera with a slight smile and in the background are some office plants on either side of her out of focus. <lora:ismerced_wocap_flux_1_standard-000026:1>"
image = pipe(prompt).images[0]isabelamerced
- Prompt
- Instagram photo of a woman sitting at a table wearing a light grey sweatshirt with green polka-dots on it, holding a sign that has the writing "Welcome to FLUX!!" written on it. She is looking at the camera with a slight smile and in the background are some office plants on either side of her out of focus. <lora:ismerced_wocap_flux_1_standard-000026:1>
Trigger words
You should use isxmerced to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev