Instructions to use stablediffusionapi/rupemixanime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/rupemixanime 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/rupemixanime", torch_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:
- 65abcb945e9e3886035119a8a282b9b9fab5b045d3229576f36cc42a73f6861e
- Size of remote file:
- 1.72 GB
- SHA256:
- b4b21c2c3e8fcf4db40eef15364b8e05d08bdf043a31524514861b1c35913ae6
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