Instructions to use Masterjp123/AnythingV5Nijimix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Masterjp123/AnythingV5Nijimix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Masterjp123/AnythingV5Nijimix", 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
- Xet hash:
- 6af0693c8b95bfc6b1ccc476e1d4a5c061ac6f0df3181b0516070791a5f21526
- Size of remote file:
- 2.13 GB
- SHA256:
- d04c8d9cde71849cd9b0f44826be6ee8268525c1a200240894be922b859012fb
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