Instructions to use rityak/RealCore_Pony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rityak/RealCore_Pony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rityak/RealCore_Pony", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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Fully supports <strong>NSFW</strong> generation and integrates seamlessly with <strong>LCM</strong> acceleration.
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</p>
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<ul class="features-list">
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<li><span class="icon">📷</span>Realistic &
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<li><span class="icon">🔀</span>Complex multi-model merge with LoRAs</li>
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<li><span class="icon">âš¡</span>Excellent <strong>LCM</strong> compatibility</li>
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<li><span class="icon">🔓</span>NSFW supported</li>
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Fully supports <strong>NSFW</strong> generation and integrates seamlessly with <strong>LCM</strong> acceleration.
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</p>
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<ul class="features-list">
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<li><span class="icon">📷</span>Realistic & photo rendering</li>
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<li><span class="icon">🔀</span>Complex multi-model merge with LoRAs</li>
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<li><span class="icon">âš¡</span>Excellent <strong>LCM</strong> compatibility</li>
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<li><span class="icon">🔓</span>NSFW supported</li>
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