Instructions to use DasDani99/customDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DasDani99/customDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DasDani99/customDiff", 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:
- 9310bdbfd7e470e3bcc36f6f543d0b36fd401c36ebe4bf931c9106f27f37a087
- Size of remote file:
- 492 MB
- SHA256:
- 221380878271bdbcfb8021deee0aa70f2be004f537882104f1f2ac4200bd41ed
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