Instructions to use ShinnosukeU/parameter_v8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/parameter_v8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShinnosukeU/parameter_v8", 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:
- aa109a164c1fb2c3337f27786e6d95f09f29d995987637be198c8bbc48b69858
- Size of remote file:
- 3.44 GB
- SHA256:
- f81d1997285c90a8d3a5bda821cf057fcff36e491d11e4c52c8f7bf26a0c615f
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