Instructions to use Yntec/NovelAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NovelAI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/NovelAI", 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
Commit History
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Update scheduler/scheduler_config.json
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Adding `diffusers` weights of this model (#2)
- Adding `diffusers` weights of this model (871f031aa107365cde56236325332e6d0ed1c972)54db80c
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Update scheduler/scheduler_config.json
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Update scheduler/scheduler_config.json
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Update scheduler/scheduler_config.json
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Update scheduler/scheduler_config.json
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Update scheduler/scheduler_config.json
64400c9
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Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (5338bc4aac9b709462cc35d4bedb0af7cff5b750)2b0e051