Instructions to use NagaSaiAbhinay/temp_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NagaSaiAbhinay/temp_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NagaSaiAbhinay/temp_model", 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
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Browse files
diffusion_pytorch_model_1024_200.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1841681680f6926e0fa260fb35794ec32869f36f34cce23193f35cb42cbcdb0
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size 306870280
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