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("Jonjew/NeveCampbell")
prompt = "<lora:Neve_Campbell_Flux:1> The image is a photograph featuring a young woman standing in a cafe, looking at the viewer. smile. The image features a woman with short, dark brown hair styled in a side-swept, slightly tousled manner. She has a fair complexion and is wearing a black, sleeveless dress adorned with sequins that sparkle under the lighting. The dress has a slightly off-the-shoulder neckline and is made of a smooth, reflective material that catches the light, creating a shimmering effect."
image = pipe(prompt).images[0]Neve Campbell 1990s (Flux)
- Prompt
- <lora:Neve_Campbell_Flux:1> The image is a photograph featuring a young woman standing in a cafe, looking at the viewer. smile. The image features a woman with short, dark brown hair styled in a side-swept, slightly tousled manner. She has a fair complexion and is wearing a black, sleeveless dress adorned with sequins that sparkle under the lighting. The dress has a slightly off-the-shoulder neckline and is made of a smooth, reflective material that catches the light, creating a shimmering effect.
Model description
FROM https://civitai.com/images/53199789
Strength 1
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 13
Model tree for Jonjew/NeveCampbell
Base model
black-forest-labs/FLUX.1-dev