Instructions to use jagat334433/beru_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jagat334433/beru_custom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jagat334433/beru_custom", 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 CinematicStyle_v1.safetensors with huggingface_hub
Browse files
CinematicStyle_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a190d6f35f81e397d04ff49b2932ba27794f9a4d87211a6a78648895d989c14c
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size 127992988
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