import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Alissonerdx/flux.1-dev-SRPO-LoRas", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("nwilliams68/mia-lora-v1")
prompt = "Full-body cinematic photograph of mia_mjr walking through downtown lights in a fitted red mini dress and stiletto heels. Wind catching her hair, reflections on wet pavement, confident stride. Professional fashion editorial lighting, 8k ultra-realistic detail, perfect skin texture, proportional anatomy, natural pose, soft depth of field, realistic shadows, elegant posture. Shot on full-frame DSLR, ISO 100, f/1.8, 35mm lens. Style: clean, modern, high-fashion realism. Composition: full head-to-toe framing showing footwear clearly."
image = pipe(prompt).images[0]Mia_LoRA_v1
- Prompt
- Full-body cinematic photograph of mia_mjr walking through downtown lights in a fitted red mini dress and stiletto heels. Wind catching her hair, reflections on wet pavement, confident stride. Professional fashion editorial lighting, 8k ultra-realistic detail, perfect skin texture, proportional anatomy, natural pose, soft depth of field, realistic shadows, elegant posture. Shot on full-frame DSLR, ISO 100, f/1.8, 35mm lens. Style: clean, modern, high-fashion realism. Composition: full head-to-toe framing showing footwear clearly.
- Prompt
- -
Trigger words
You should use mia_mjr to trigger the image generation.
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Model tree for nwilliams68/mia-lora-v1
Base model
tencent/SRPO Finetuned
rockerBOO/flux.1-dev-SRPO Finetuned
Alissonerdx/flux.1-dev-SRPO-LoRas