Instructions to use FrankCCCCC/ddpm-ema-92k_cfm-corr-998-ss0.0-ep500-ema-92k-run0 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-998-ss0.0-ep500-ema-92k-run0 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-998-ss0.0-ep500-ema-92k-run0", 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- ckpt/data.ckpt +3 -0
- ckpt/model.safetensors +3 -0
- ckpt/optimizer.bin +3 -0
- ckpt/random_states_0.pkl +3 -0
- epochs/ep140/unet/diffusion_pytorch_model.safetensors +3 -0
- epochs/ep320/unet/diffusion_pytorch_model.safetensors +3 -0
- epochs/ep350/unet/diffusion_pytorch_model.safetensors +3 -0
- epochs/ep405/unet/diffusion_pytorch_model.safetensors +3 -0
- epochs/ep470/unet/diffusion_pytorch_model.safetensors +3 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
ckpt/data.ckpt
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