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:
- 767b6d3b7bf9e7a8dcd219d69b54fb4ee72335c8a506500e34eac4774855a68d
- Size of remote file:
- 6.59 MB
- SHA256:
- 3252a63f0ff9466d60bad89f3aebbebb412dfb3defb70a09aadbb58103b42fc6
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