Instructions to use FrankCCCCC/ddpm-ema-92k_cfm-corr-200-ss0.0-ep500-ema-92k-run1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrankCCCCC/ddpm-ema-92k_cfm-corr-200-ss0.0-ep500-ema-92k-run1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FrankCCCCC/ddpm-ema-92k_cfm-corr-200-ss0.0-ep500-ema-92k-run1", 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
Add files using upload-large-folder tool
Browse files
epochs/ep270/unet/diffusion_pytorch_model.safetensors
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epochs/ep460/unet/diffusion_pytorch_model.safetensors
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epochs/ep95/unet/diffusion_pytorch_model.safetensors
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oid sha256:cb50b51c1de4c3e687d19186bb34c41e8aa34308fe53f3514b2aa50ab8eedfd8
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