import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("mindlywork/WaterBelnds1")
prompt = "-"
image = pipe(prompt).images[0]WaterBelnds1
- Prompt
- -
Model description
WaterBelnds1
Trigger words
You should use WaterBelnds1 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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Base model
stabilityai/stable-diffusion-xl-base-1.0