| license: other | |
| license_name: bespoke-lora-trained-license | |
| license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=False | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| - template:sd-lora | |
| - migrated | |
| - water | |
| - style | |
| - isometric | |
| - floatingisland | |
| base_model: runwayml/stable-diffusion-v1-5 | |
| instance_prompt: waterworld | |
| widget: | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 6398809.jpeg | |
| - text: ' ' | |
| output: | |
| url: >- | |
| 6418094.jpeg | |
| # waterworld | |
| <Gallery /> | |
| ## Model description | |
| <p>"waterworld" is a fun lighthearted cartoon model will add that splash of creativity to your workflow.</p><p>use terms like :</p><p>ocean</p><p>island</p><p>floating island</p><p> isometric</p><p></p> | |
| ## Trigger words | |
| You should use `waterworld` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/brushpenbob/waterworld/tree/main) them in the Files & versions tab. | |
| ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) | |
| ```py | |
| 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) | |