Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
migrated
water
style
isometric
floatingisland
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("brushpenbob/waterworld")
prompt = " "
image = pipe(prompt).images[0]waterworld
- Prompt
- Prompt
Model description
"waterworld" is a fun lighthearted cartoon model will add that splash of creativity to your workflow.
use terms like :
ocean
island
floating island
isometric
Trigger words
You should use waterworld to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/waterworld', weight_name='waterworld.safetensors')
image = pipeline('`waterworld`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for brushpenbob/waterworld
Base model
runwayml/stable-diffusion-v1-5