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("pixologyds/xtrish")
prompt = "wide and low angle, cinematic, fashion photography. xtrish sitting on floor wearing a full size white t-shirt with big letters \\\"TRISHA\\\" logo text, brown jeans, high heels and a gracious look on her face. The background is a gradient, studio setting <lora:xtrish_lora:1>"
image = pipe(prompt).images[0]Trisha Krishnan
- Prompt
- wide and low angle, cinematic, fashion photography. xtrish sitting on floor wearing a full size white t-shirt with big letters \"TRISHA\" logo text, brown jeans, high heels and a gracious look on her face. The background is a gradient, studio setting <lora:xtrish_lora:1>
Trigger words
You should use xtrish to trigger the image generation.
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Weights for this model are available in Safetensors format.
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Base model
black-forest-labs/FLUX.1-dev