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("accidentallall/vampires-1500")
prompt = "In the style of TOK, fantasy illustration of a vampire soldier, sinister, dark, threatening mood, slight forward lean, predatory pose, cold aristocratic expression, dark magic aura around hands, moonlit balcony overlooking dark city, cold moonlight through arched window, hand-drawn, painterly, detailed card art, rich colors, intricate details"
image = pipe(prompt).images[0]vampires 1500
Model description
Trigger words
You should use In the style of TOK, fantasy illustration of a vampire soldier, sinister, dark, threatening mood, slight forward lean, predatory pose, cold aristocratic expression, dark magic aura around hands, moonlit balcony overlooking dark city, cold moonlight through arched window, hand-drawn, painterly, detailed card art, rich colors, intricate details 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.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.
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black-forest-labs/FLUX.1-dev