Instructions to use dydsa/denoiser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dydsa/denoiser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dydsa/denoiser", 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 diffusion_pytorch_model.safetensors
Browse files
diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b886ca1ff6ec1dad16865c96404c50ea73ffd057b86aeb33a218dfef5da4f454
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size 3438167536
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