import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("FrankCCCCC/ddpm-ema-10k_cfm-corr-900-ss0.005-ep100-ema-run2", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
cfm_corr_900_ss0.005_ep100_ema-run2
This repository contains model artifacts and configuration files from the CFM_CORR_EMA_50k experiment.
Contents
This folder contains:
- Model checkpoints and weights
- Configuration files (JSON)
- Scheduler and UNet components
- Training results and metadata
- Sample directories (excluding image files)
Experiment Details
- Experiment: CFM_CORR_EMA_50k
- Folder: cfm_corr_900_ss0.005_ep100_ema-run2
- Images excluded from upload
Usage
This repository contains the necessary files to reproduce or analyze the model from this specific experimental run.
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