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("Nesslovver/v.e.1")
prompt = "photo of v.e."
image = pipe(prompt).images[0]v.e.
.png)
- Prompt
- photo of v.e.
Model description
trigger: "a photo of v.e." or just "v.e."
Trigger words
You should use trigger: "a photo of v.e." or just "v.e." to trigger the image generation.
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Nesslovver/v.e.1
Base model
black-forest-labs/FLUX.1-dev