Instructions to use satpalsr/customsd4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satpalsr/customsd4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satpalsr/customsd4", 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:
- c7f93ad186a53c1449194064836664123925ac78863f75e98d8fdfeb5e7b17ca
- Size of remote file:
- 10.6 GB
- SHA256:
- 8f2dcf4ad83e4bce43efba034cdf5f402410dfc7ea1d3f8f83ffc5519bb5790a
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