Instructions to use natsusakiyomi/HimawariMixs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use natsusakiyomi/HimawariMixs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("natsusakiyomi/HimawariMixs", 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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様々なモデルをマージした背景や細部の表現力が強いVAE内蔵型モデル<br>
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VAEの内臓はないぞ!と言わせないぞ!!!!<br>
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Models with built-in VAE with strong expression of backgrounds and details merging various models
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<p class="mb-4 text-base text-neutral-600 dark:text-neutral-200">
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様々なモデルをマージした背景や細部の表現力が強いVAE内蔵型モデル<br>
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VAEの内臓はないぞ!と言わせないぞ!!!!<br>
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Models with built-in VAE with strong expression of backgrounds and details merging various models
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</p>
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