Instructions to use FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2 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/cfm-corr-150-ss0.0-ep500-ema-50k-run2", 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
Download ckpt/optimizer.bin from FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2: direct link, hf CLI and curl.
- Browser
- Download file 286 MB
-
https://huggingface.co/FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2/resolve/main/ckpt/optimizer.bin
- Command line
-
hf download hf://FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2/ckpt/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2/resolve/main/ckpt/optimizer.bin
286 MB
- Xet hash:
- 4e5e9ea8144a82001a6e81f9a2dcf8755c74dc3c11e24caf10f54459dba7d190
- Size of remote file:
- 286 MB
- SHA256:
- 3054a174e9dd20e5eb77a880690a14951e5a3b80176efcc587f9074579d1fcef
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