Instructions to use Muapi/emilia-re-zero-re with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/emilia-re-zero-re with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/emilia-re-zero-re") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| license: openrail++ | |
| library_name: diffusers | |
| base_model: OnomaAIResearch/Illustrious-xl-early-release-v0 | |
| tags: | |
| - lora | |
| - text-to-image | |
| - stable-diffusion-xl | |
| - illustrious | |
| - illustrious | |
| pipeline_tag: text-to-image | |
| # Emilia (γ¨γγͺγ’) - Re:Zero (ReοΌγΌγγγε§γγη°δΈηηζ΄») | |
|  | |
| **Base model**: Illustrious | |
| **Trained words**: rezero emilia, emilia (re:zero), braid, crown braid, flower, hair flower, hair ornament, hair ribbon, long hair, pointy ears, purple eyes, white hair, x hair ornament, green pupils, medium breasts, anime screencap, long sleeves, animal ears, hood, cape, fake animal ears, covered navel, purple bodysuit, cloak, hood up, animal hood, white cape, hooded cloak,, long sleeves, hood, cape, covered navel, purple bodysuit, cloak, white cape, hooded cloak, | |
| ## π§ Usage (Python) | |
| π **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys) | |
| ```python | |
| import requests, os | |
| url = "https://api.muapi.ai/api/v1/sdxl-lora-image" | |
| headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")} | |
| payload = { | |
| "prompt": "masterpiece, best quality", | |
| "lora_model": "emilia-re-zero-re", | |
| "lora_strength": 1.0, | |
| "width": 1024, | |
| "height": 1024, | |
| "num_images": 1 | |
| } | |
| print(requests.post(url, headers=headers, json=payload).json()) | |
| ``` | |