Instructions to use OFT/MODEL_SD15_RockRaiderRuby_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OFT/MODEL_SD15_RockRaiderRuby_v01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OFT/MODEL_SD15_RockRaiderRuby_v01", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of the sunset" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
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by OFT - opened
- README.md +5 -0
- images/example_905ceio2p.png +0 -0
README.md
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---
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tags:
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- text-to-image
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---
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<h1>Rock Raider Ruby</h1>
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An old version of a customised model. Very simple SD1.5 + 10 photos. Dates back before I learned about LORA's. <br>
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tags:
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- text-to-image
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widget:
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- text: photo of the sunset
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output:
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url: images/example_905ceio2p.png
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---
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<h1>Rock Raider Ruby</h1>
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An old version of a customised model. Very simple SD1.5 + 10 photos. Dates back before I learned about LORA's. <br>
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images/example_905ceio2p.png
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