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 casting_mq.zip with huggingface_hub
Browse files- casting_mq.zip +3 -0
casting_mq.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f9384f5dc266782727b56c8a7ad5ee6ad65e93f8e630cddc8c835cf7f4092e5
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size 486831830
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