Diffusers
Safetensors
CondDDIMPipeline
downscaling
ERA5 - COSMO-REA6
reanalysis data
wind velocities
diffusion
superresolution
Instructions to use lschmidt/ddim-dsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lschmidt/ddim-dsc with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lschmidt/ddim-dsc", 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
luca-schmidt commited on
Commit ·
7aba4ef
1
Parent(s): 6194c0e
updated code structure
Browse files
model_index.json
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{
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"_class_name": "UNetOnlyPipeline",
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"_diffusers_version": "0.25.0",
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"unet": ["diffusers", "UNet2DModel"],
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"scheduler": ["diffusers", "DDIMScheduler"]
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}
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scheduler_config.json → scheduler/scheduler_config.json
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config.json → unet/config.json
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diffusion_pytorch_model.safetensors → unet/diffusion_pytorch_model.safetensors
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