Instructions to use Lasorco/lametta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Lasorco/lametta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lasorco/lametta", 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
Update README.md
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README.md
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細部のおかしな点もこのモデルの特性ですのでそのままの掲載です<br>
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v1602はHires.fix推奨ですのでサンプルにも適用しています<br>
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v1601 , **v1602** , **v1604** , **v1605**:デフォルメチックな絵を出力する方向性です
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<details><summary><b>16xx系詳細</b></summary>
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**v1504** , v1555, **v1574**:目が丸くて大きい主力モデル
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<details><summary><b>15xx系詳細</b></summary>
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v1300 , v1329 , v1330:15xxの前身モデルで15xxより目元に自由度があります
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<details><summary><b>13xx系詳細</b></summary>
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