Instructions to use hanzogak/comradeshipLU-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hanzogak/comradeshipLU-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("hanzogak/comradeshipLU-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
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license: apache-2.0
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license: apache-2.0
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base_model:
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- neta-art/Neta-Lumina
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pipeline_tag: text-to-image
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tags:
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- anime
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- merge
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language:
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- en
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- zh
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- ja
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---
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Comradeship LU (v2 release)
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=============
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전우애는 계속되어야 한다.
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## comradeshipLU-v2 "Robinson"
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neta-lumina-v1.0 base model.
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