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("SpiderSteeped/milly")
prompt = "photograph, As the sun begins to set, Milly Alcock with long platinum hair and piercing lavender colored eyes wanders through a dark neon-lit city wearing a red high-neck dress. Fujicolor Superia X-TRA 400, 50mm, <lora:aidmaImageUprader-FLUX-v0.3:0.4> <lora:Milly_Alcock_V1-000032:1.0> <lora:aidmaMJ6.1-FLUX-v0.4:0.7000000000000001>"
image = pipe(prompt).images[0]milly
- Prompt
- photograph, As the sun begins to set, Milly Alcock with long platinum hair and piercing lavender colored eyes wanders through a dark neon-lit city wearing a red high-neck dress. Fujicolor Superia X-TRA 400, 50mm, <lora:aidmaImageUprader-FLUX-v0.3:0.4> <lora:Milly_Alcock_V1-000032:1.0> <lora:aidmaMJ6.1-FLUX-v0.4:0.7000000000000001>
Trigger words
You should use milly alcock 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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Model tree for SpiderSteeped/milly
Base model
black-forest-labs/FLUX.1-dev