Instructions to use jmamou/sd-pokemon-distil-model-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jmamou/sd-pokemon-distil-model-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jmamou/sd-pokemon-distil-model-2", 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:
- 88a26f3bf3b6dbe87285d38f3f8bff459937e8b70078282932a6e53d19d1eca0
- Size of remote file:
- 3.44 GB
- SHA256:
- 5fd5f98429bbb9c640d22cc86d99c1c3bbf6d4b7cfc3a1a1eb393b8995d62a2a
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