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", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 8f7e9f390b94640d70a5f92883471d388e623e9db746620e7a7d7527f77aab14
- Size of remote file:
- 246 MB
- SHA256:
- 9f714428bd56cc0a5175157f69327e52fd393f3724fbbf842fe46ec754ec4a5e
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