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("edops/flux-davella-02")
prompt = "A man is looking at the smartphone in his modern ikea living room, natural light, David Fincher cinematic style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, film grain, grainy"
image = pipe(prompt).images[0]flux davella
- Prompt
- A man is looking at the smartphone in his modern ikea living room, natural light, David Fincher cinematic style, shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, film grain, grainy
Model description
matt davella style
Trigger words
You should use DAVELLA 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 edops/flux-davella-02
Base model
black-forest-labs/FLUX.1-dev