Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
StableDiffusionXLPipeline
Inference Endpoints
sdxl
Instructions to use prithivMLmods/Montuno-Omega-Anime-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/Montuno-Omega-Anime-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("cagliostrolab/animagine-xl-3.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/Montuno-Omega-Anime-LoRA") prompt = "The face of a woman with brown eyes, in the style of yigal ozeri, light navy and light gray, patrick demarchelier, alayna lemmer, focus on joints/connections, caravaggism, studio light --ar 1:2 --stylize 750 --v 6" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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