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("Seryoger/Nami")
prompt = "low passed modular sofa, High-quality chenille fabric, light beige fabric modular sofa with an array of striped and plain pillows, placed on a gravel terrace under the dappled shade of a large pomegranate tree. A white stucco wall is in the background. The setting is relaxed and Mediterranean, with terracotta pots and natural light casting intricate shadows."
image = pipe(prompt).images[0]Nami
- Prompt
- low passed modular sofa, High-quality chenille fabric, light beige fabric modular sofa with an array of striped and plain pillows, placed on a gravel terrace under the dappled shade of a large pomegranate tree. A white stucco wall is in the background. The setting is relaxed and Mediterranean, with terracotta pots and natural light casting intricate shadows.
- Prompt
- -
Model description
Flux 2 dev test
Trigger words
You should use Nami to trigger the image generation.
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Base model
black-forest-labs/FLUX.1-dev