Instructions to use KamCastle/36framesV3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/36framesV3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/36framesV3", 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:
- 1aa5f5d664d069023f3005269b8a4071eadc453cf2f538861c4ec6e07f8aa7b3
- Size of remote file:
- 492 MB
- SHA256:
- 766bd3c88270a24826dd17a711fc2ed68cfb4a60965150e221d7881cd9608f9d
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