Instructions to use mwkldeveloper/chinese-basic-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mwkldeveloper/chinese-basic-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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mwkldeveloper/chinese-basic-lora") 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
- Xet hash:
- cbba1c866eb6dccb00bba91a8d1f44ec7ac68eeff06958efe6664b8da0a77904
- Size of remote file:
- 6.59 MB
- SHA256:
- 3643be2cba962ac8c51d270db513916390280dbfa933b5602dd0d11d202b09e9
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