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("swsqy/ue5flux")
prompt = "space warrior, beautiful, female, ultrarealistic, soft lighting, 8k"
image = pipe(prompt).images[0]ngfrn
.png)
- Prompt
- space warrior, beautiful, female, ultrarealistic, soft lighting, 8k
- Negative Prompt
- cartoon, anime, (deformed eyes, nose, ears, nose), bad anatomy, ugly
Trigger words
You should use ue5 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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Base model
black-forest-labs/FLUX.1-dev