Instructions to use Toraong/ANIMA_STYLE_LORA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Toraong/ANIMA_STYLE_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("duongve/AnimaYume", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Toraong/ANIMA_STYLE_LORA") prompt = "-" 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("duongve/AnimaYume", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Toraong/ANIMA_STYLE_LORA")
prompt = "-"
image = pipe(prompt).images[0]- Downloads last month
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Model tree for Toraong/ANIMA_STYLE_LORA
Base model
nvidia/Cosmos-Predict2-2B-Text2Image Finetuned
circlestone-labs/Anima Finetuned
duongve/AnimaYume