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("petrznel/plastic_can")
prompt = "A plastic can containing supplements perched on a rocky cliff edge during sunrise, with dramatic light reflecting off its metallic surface and a distant runner preparing for a trail adventure."
image = pipe(prompt).images[0]Plastic Can
- Prompt
- A plastic can containing supplements perched on a rocky cliff edge during sunrise, with dramatic light reflecting off its metallic surface and a distant runner preparing for a trail adventure.
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black-forest-labs/FLUX.1-dev