Instructions to use Rohanify/Anime-Elite-V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rohanify/Anime-Elite-V2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Rohanify/Anime-Elite-V2", 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
Models-V2 + Samples
Browse files- ckpt_e040.pt +3 -0
- ckpt_e045.pt +3 -0
- peak1.png +0 -0
- peak2.png +0 -0
- peak3.png +0 -0
- peak4.png +0 -0
- peak5.png +0 -0
- peak6.png +0 -0
ckpt_e040.pt
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oid sha256:484d17d8e6039c4fed67f3f292ae986a3ca1b7f84266cbb55a1a5a6bb37b435d
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ckpt_e045.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:dcc630ea047b01eb66ca9b19c7f47d2963a180c7cf83bf4b95afa0f59efa77f9
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size 528905283
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peak1.png
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peak2.png
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peak3.png
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peak4.png
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peak5.png
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peak6.png
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