Instructions to use bys2058/bald_refine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bys2058/bald_refine with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bys2058/bald_refine", 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:
- e6a9f3409cd46e25c3285cec1fce292b13f386ed36baa80d46ccc3b069879b6c
- Size of remote file:
- 335 MB
- SHA256:
- d70120acb7ecd70768973338b6437adc2bc12892ac80a9e3a4e58f988cc1fdcc
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