Instructions to use KamCastle/36framesV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/36framesV2 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/36framesV2", 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:
- d1821cb59c9d9a41b8443d257d386534c5f44a7f2bdd07278eb8f9d7045cb525
- Size of remote file:
- 492 MB
- SHA256:
- 3e4a973f71b00c5b038f4e653d7aa6c838f1f6fcfb5f9c919798292b2f83cf1c
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