Instructions to use rdcoder/del_bld with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rdcoder/del_bld with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rdcoder/del_bld", dtype=torch.bfloat16, device_map="cuda") 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:
- 4f1c913074bb9e477058cd47d7f42c1571dc300e6c1fbb7b0ec694bf65ad0a11
- Size of remote file:
- 492 MB
- SHA256:
- 1614c37c9f9d91ad25322d0fa82587a4147cd77b6917cf99c7803a9b4142b073
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