Instructions to use jha2ee/StableDiffusion_finetuning_Disney with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jha2ee/StableDiffusion_finetuning_Disney with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jha2ee/StableDiffusion_finetuning_Disney", 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:
- 32c54ba93ccebbe61c3e89706b483edd110e90df58b0b28ddfa9b9786c0a002a
- Size of remote file:
- 492 MB
- SHA256:
- b882651538ababc17a59ae0cf5c550edfc6aec73317c6e1a33417b4a52216190
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