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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Download README.md from hanzogak/comradeshipLU-v2: direct link, hf CLI and curl.
- Browser
- Download file 552 Bytes
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https://huggingface.co/hanzogak/comradeshipLU-v2/resolve/main/README.md
- Command line
-
hf download hf://hanzogak/comradeshipLU-v2/README.md
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curl -L -o README.md https://huggingface.co/hanzogak/comradeshipLU-v2/resolve/main/README.md
552 Bytes
metadata
license: apache-2.0
base_model:
- neta-art/Neta-Lumina
pipeline_tag: text-to-image
tags:
- anime
language:
- en
- zh
- ja
Comradeship LU (v2 release)
전우애는 계속되어야 한다.
comradeshipLU-v2 "Robinson"
This is a tuning model based on neta-lumina-v1.0.
The model LoRA merging formula is the same as v2T22, and it is to apply the changed license as the license of neta-lumina-v1.0 was changed to Apache License 2.0.