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:
- 082590ccc827202cca8b0e001004bc7b10b58483ad54130d76a7acc3a3d7fb36
- Size of remote file:
- 3.44 GB
- SHA256:
- 1633417f967b72b78bf184e92ca3107899b4e3a97a72d140b74732278293a4c1
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