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
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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
| 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) | |
| ============= | |
| ์ ์ฐ์ ๋ ๊ณ์๋์ด์ผ ํ๋ค. | |
| [ํ๊ตญ์ด ์ฝ์ด๋ณด๊ธฐ](https://huggingface.co/hanzogak/comradeshipLU-v2/blob/main/README-KO.md) | |
| ## 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. |