Instructions to use timduck8/mmhrem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/mmhrem with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timduck8/mmhrem", 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
docs: 添加大文件上传说明
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转换说明.md
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python convert_to_diffusers.py
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```
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## 转换后的目录结构
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转换完成后,会在当前目录生成 `novaAsianXL-diffusers/` 文件夹,包含完整的 Diffusers 格式:
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python convert_to_diffusers.py
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```
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### Hugging Face 仓库的大文件(>5GB)上传支持。
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### hf lfs-enable-largefiles .
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## 转换后的目录结构
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转换完成后,会在当前目录生成 `novaAsianXL-diffusers/` 文件夹,包含完整的 Diffusers 格式:
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