Instructions to use GraydientPlatformAPI/niji-diffused4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/niji-diffused4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/niji-diffused4", 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:
- 64b8e4bc119f737f7807abaf3ff6e5133452969ac640924c794395fe9bb57e8d
- Size of remote file:
- 1.72 GB
- SHA256:
- ecd7295f92301db0b089bee8a1dc46546cccbdd628acd04538a9a77add946b52
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