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("justinj92/dior-backstage")
prompt = "a DIOR beauty product placed with a backdrop of autumn trees"
image = pipe(prompt).images[0]Dior Backstage
A Flux LoRA trained on Azure H100
- Prompt
- a DIOR beauty product placed with a backdrop of autumn trees
- Prompt
- a DIOR beauty product placed with a backdrop of burj khalifa
- Prompt
- a DIOR beauty product placed on a table at home
- Prompt
- a DIOR beauty product placed on a dressing table with a lady using it
Trigger words
You should use a DIOR beauty product to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for justinj92/dior-backstage
Base model
black-forest-labs/FLUX.1-dev