import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("wkplhc/ue3.0")
prompt = "anime style, female, long black hair, piercing violet eyes, A mysterious woman dressed as a witch, wearing a dark, elegant, long-sleeved sheer dress adorned with intricate golden details, large black witches' hat, long flowing hair, intense and focused expression, dark cloudy atmospheric background, dramatic lighting that highlights her face and costume, centered composition with a medium close-up framing, the mood is mystical and powerful. . aidmaMJ6.1, aidmafluxpro1.1"
image = pipe(prompt).images[0]gvwgwe
- Prompt
- anime style, female, long black hair, piercing violet eyes, A mysterious woman dressed as a witch, wearing a dark, elegant, long-sleeved sheer dress adorned with intricate golden details, large black witches' hat, long flowing hair, intense and focused expression, dark cloudy atmospheric background, dramatic lighting that highlights her face and costume, centered composition with a medium close-up framing, the mood is mystical and powerful. . aidmaMJ6.1, aidmafluxpro1.1
Trigger words
You should use ue5 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 wkplhc/ue3.0
Base model
black-forest-labs/FLUX.1-dev