Instructions to use Muapi/may-pokemon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/may-pokemon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/may-pokemon") 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
File size: 1,130 Bytes
087de64 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | ---
license: openrail++
library_name: diffusers
base_model: cocktailpeanut/pony-diffusion-v6-xl
tags:
- lora
- text-to-image
- stable-diffusion-xl
- pony
- pony
pipeline_tag: text-to-image
---
# May (ハルカ) - Pokemon (ポケモン)

**Base model**: Pony
**Trained words**: <lora:pokemon-may-anime-ponyxl-lora-nochekaiser:1>, pokemonmay, blue eyes, brown hair, bandana, long hair, red bandana, twintails, hair between eyes,, bike shorts, collared shirt, gloves, microskirt, multicolored shirt, pencil skirt, red shirt, shirt, short sleeves, skirt, white skirt,
## 🧠 Usage (Python)
🔑 **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": "may-pokemon",
"lora_strength": 1.0,
"width": 1024,
"height": 1024,
"num_images": 1
}
print(requests.post(url, headers=headers, json=payload).json())
```
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