Instructions to use Muapi/sailor-scouts-collection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/sailor-scouts-collection 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/sailor-scouts-collection") 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
Add Sailor Scouts Collection
Browse files- .gitattributes +1 -0
- README.md +38 -0
- preview.jpg +3 -0
.gitattributes
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README.md
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---
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license: openrail++
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library_name: diffusers
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base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
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tags:
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- lora
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- text-to-image
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- stable-diffusion-xl
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- illustrious
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- illustrious
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pipeline_tag: text-to-image
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---
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# Sailor Scouts Collection
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**Base model**: Illustrious
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**Trained words**: Forehead jewel, red gemstone, 1girl, long hair, green hair, single hair bun, earrings, sailor senshi uniform, red eyes, black choker, tiara, black sailor collar, red bowtie, white shirt, elbow gloves, white gloves, pleated skirt, black miniskirt
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## 🧠 Usage (Python)
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🔑 **Get your MUAPI key** from [muapi.ai/access-keys](https://muapi.ai/access-keys)
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```python
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import requests, os
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url = "https://api.muapi.ai/api/v1/sdxl-lora-image"
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headers = {"Content-Type": "application/json", "x-api-key": os.getenv("MUAPIAPP_API_KEY")}
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payload = {
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"prompt": "masterpiece, best quality",
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"lora_model": "sailor-scouts-collection",
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"lora_strength": 1.0,
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"width": 1024,
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"height": 1024,
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"num_images": 1
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}
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print(requests.post(url, headers=headers, json=payload).json())
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```
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preview.jpg
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Git LFS Details
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