Instructions to use LegoClipStars/Laval_Legends_of_Chima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LegoClipStars/Laval_Legends_of_Chima with Diffusers:
pip install -U diffusers transformers accelerate
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("LegoClipStars/Laval_Legends_of_Chima") prompt = "NEFT" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 613 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: NEFT
parameters:
negative_prompt: animal warrior
output:
url: images/Laval.jpg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: Please spare me
license: cc-by-4.0
---
# Laval_Legends_of_Chim
<Gallery />
## Model description
Here's my RVC voice model of Laval from Legends of Chima.
## Trigger words
You should use `Please spare me` to trigger the image generation.
## Download model
[Download](/LegoClipStars/Laval_Legends_of_Chima/tree/main) them in the Files & versions tab.
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