Instructions to use muyezangli/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use muyezangli/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("muyezangli/lora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
暗黑风格-16-8000.safetensors

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -

- Prompt
- -
Model description
这是一个在flux.1_dev_fp16模型上微调的暗黑系风格的lora模型。
其目的是构建更真实的电影级光影,和极具艺术色彩的调色风格。
我也添加了一些我个人喜欢的科幻元素进去。
如果您配合通过原生的flux模型训练的人物lora使用,那么它对面部相似度的影响很小。但请记得将模型权重调小一些
。
仅供个人交流学习使用,严禁任何形式的商用。
Download model
Download them in the Files & versions tab.
- Downloads last month
- 1
Model tree for muyezangli/lora
Base model
black-forest-labs/FLUX.1-dev