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:
- 9c2067cc8c0bcfe2b82fd76bded530ea94e4cb13e4c77a7346814cfa1d3b0bab
- Size of remote file:
- 6.59 MB
- SHA256:
- 8ea28a96fda4c372f0e120edd03945adedaeb1b520073f359884eee943c82958
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