Instructions to use KamCastle/36framesv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/36framesv4 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/36framesv4", 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
Upload 36Frames_v40.safetensors
Browse files- 36Frames_v40.safetensors +3 -0
36Frames_v40.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:48966ccfa29f805dc5658255db4db92bf6cff4f4ba05cef1f3d88aef39d92024
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size 4269302046
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