iSolver-AI
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Browse files- .gitattributes +3 -0
- 20.safetensors +3 -0
- README.md +70 -0
- _cover_images_/20241223133259_5.png +0 -0
- _cover_images_/20241223155404_10.png +3 -0
- _cover_images_/20241223181514_15.png +3 -0
- _cover_images_/20241223203628_20.png +3 -0
- configuration.json +6 -0
.gitattributes
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20.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:797c4d49d719183703fbf2b288e495bfc5940e565d76800ee959ca0eb19e786e
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size 153233976
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README.md
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---
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base_model: iSolver/TraditionalChinesePainting
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cover_images:
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- _cover_images_/20241223203628_20.png
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- _cover_images_/20241223181514_15.png
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- _cover_images_/20241223155404_10.png
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- _cover_images_/20241223133259_5.png
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frameworks:
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- Pytorch
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license: apache-2.0
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tags:
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- LoRA
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- text-to-image
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tasks:
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- text-to-image-synthesis
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trigger_words:
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- "ChinesePainting"
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vision_foundation: FLUX_1
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#model-type:
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##如 gpt、phi、llama、chatglm、baichuan 等
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#- gpt
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#domain:
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##如 nlp、cv、audio、multi-modal
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#- nlp
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#language:
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##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
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#- cn
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#metrics:
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##如 CIDEr、Blue、ROUGE 等
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#- CIDEr
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#tags:
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##各种自定义,包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
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#- pretrained
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#tools:
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##如 vllm、fastchat、llamacpp、AdaSeq 等
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#- vllm
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---
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# 一键生图最佳实践
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提示词描述并优化后,增加以下触发词可达到较好效果
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```text
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ChinesePainting,traditional chinese painting,traditional chinese ink painting, plain white background, bold brushstrokes, white background
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```
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您可以通过如下git clone命令,或者ModelScope SDK来下载模型
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# SDK下载
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```bash
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## 安装ModelScope
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pip install modelscope
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```
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```python
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# SDK模型下载
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from modelscope import snapshot_download
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model_dir = snapshot_download('iSolver/TraditionalChinesePainting')
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```
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# Git下载
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```
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#Git模型下载
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git clone https://www.modelscope.cn/iSolver/TraditionalChinesePainting.git
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```
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_cover_images_/20241223133259_5.png
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_cover_images_/20241223155404_10.png
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Git LFS Details
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_cover_images_/20241223181514_15.png
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Git LFS Details
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_cover_images_/20241223203628_20.png
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Git LFS Details
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configuration.json
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{
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"aigc_model": true,
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"model_file_location": "20.safetensors",
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"framework": "Pytorch",
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"task": "other"
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}
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