Instructions to use dinocres/niji-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dinocres/niji-lora 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("dinocres/niji-lora") prompt = "alien protagonist, in the style of akira 1988 animation, by Katsuhiro Otomo, 90's anime, neo tokyo, happy, cheerful, alien, space, exploration, astronaut, simple background, moe, cute" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("dinocres/niji-lora")
prompt = "alien protagonist, in the style of akira 1988 animation, by Katsuhiro Otomo, 90's anime, neo tokyo, happy, cheerful, alien, space, exploration, astronaut, simple background, moe, cute"
image = pipe(prompt).images[0]niji-lora

- Prompt
- alien protagonist, in the style of akira 1988 animation, by Katsuhiro Otomo, 90's anime, neo tokyo, happy, cheerful, alien, space, exploration, astronaut, simple background, moe, cute
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for dinocres/niji-lora
Base model
runwayml/stable-diffusion-v1-5