Instructions to use Rita7th/Luminastra_XL_Model_Storage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rita7th/Luminastra_XL_Model_Storage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rita7th/Luminastra_XL_Model_Storage", 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 Settings
- Draw Things
- DiffusionBee
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README.md
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**Sampling method**
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> "Euler a" or "DPM++ 3M SDE Karras"
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**Hires. fix**
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**Upscale by**
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> 1.5
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-
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**Denoising strength**
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> 0.4 or 0.5
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- その他の設定はClandestine XL 1.0の設定をご参考にしてください。
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| 45 |
**Sampling method**
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| 46 |
> "Euler a" or "DPM++ 3M SDE Karras"
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| 47 |
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| 48 |
+
**Hires. fix**
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| 49 |
+
**Upscale by**
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| 50 |
> 1.5
|
| 51 |
+
|
| 52 |
+
**Denoising strength**
|
| 53 |
> 0.4 or 0.5
|
| 54 |
|
| 55 |
- その他の設定はClandestine XL 1.0の設定をご参考にしてください。
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