Instructions to use Muapi/cunnilingus-from-side-concept with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cunnilingus-from-side-concept 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/cunnilingus-from-side-concept") 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 Cunnilingus From Side - Concept
Browse files
README.md
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pipeline_tag: text-to-image
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---
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#
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**Base model**: Illustrious
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**Trained words**:
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## 🧠 Usage (Python)
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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": "
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"lora_strength": 1.0,
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"width": 1024,
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"height": 1024,
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pipeline_tag: text-to-image
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---
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# Zoroj Style [ILXL][NAI-XL]
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**Base model**: Illustrious
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**Trained words**: 20r0j_2
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## 🧠 Usage (Python)
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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": "zoroj-style-ilxl-nai-xl",
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"lora_strength": 1.0,
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"width": 1024,
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"height": 1024,
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