Instructions to use DingDongBell/ddbldh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DingDongBell/ddbldh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DingDongBell/ddbldh") prompt = "ddbldh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8fb76e075a16b655d980b09dfa92a1c19a3ca045a380e62c2df049a5fe6aff65
- Size of remote file:
- 3.42 MB
- SHA256:
- ccbd29724c4ab4f2da8977840e3d6fb5ad1f0e00f109f3196903f81b11d4490f
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