Instructions to use stablediffusionapi/nijidiffusedmix-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/nijidiffusedmix-v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/nijidiffusedmix-v4", 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:
- 9af320f8128e8b3746a58e427b1206611b6a8484c45a01e88219a9ac82eae3bd
- Size of remote file:
- 246 MB
- SHA256:
- 8e61263a92fb11adf52ee86a3069f130123efd8e60981faedce81c91927ef614
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