Instructions to use Narsil/riffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Narsil/riffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Narsil/riffusion", 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
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README.md
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-
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- text-to-audio
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inference: true
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extra_gated_prompt: >-
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This model is open access and available to all, with a CreativeML OpenRAIL-M
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-speech
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inference: true
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extra_gated_prompt: >-
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This model is open access and available to all, with a CreativeML OpenRAIL-M
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