Instructions to use animEEEmpire/AniMemory-alpha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use animEEEmpire/AniMemory-alpha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("animEEEmpire/AniMemory-alpha", 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
readme update
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README.md
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# Key Problems and
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- Primarily focuses on text-following ability and basic image quality; it is not a strongly artistic or stylized
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version, making it suitable for open-source co-construction.
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- The model's open-sourcing is dedicated to enriching the ecosystem of the anime community and benefiting anime fans.
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- The usage of the model shall not infringe upon the legal rights and interests of designers and creators.
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# Quick
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1.Install the necessary requirements.
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# Key Problems and Notes
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- Primarily focuses on text-following ability and basic image quality; it is not a strongly artistic or stylized
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version, making it suitable for open-source co-construction.
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- The model's open-sourcing is dedicated to enriching the ecosystem of the anime community and benefiting anime fans.
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- The usage of the model shall not infringe upon the legal rights and interests of designers and creators.
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# Quick Start
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1.Install the necessary requirements.
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