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/data.ckpt from FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2: direct link, hf CLI and curl.
- Browser
- Download file 1.24 kB
-
https://huggingface.co/FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2/resolve/main/ckpt/data.ckpt
- Command line
-
hf download hf://FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2/ckpt/data.ckpt
-
curl -L -o data.ckpt https://huggingface.co/FrankCCCCC/cfm-corr-150-ss0.0-ep500-ema-50k-run2/resolve/main/ckpt/data.ckpt
1.24 kB
- Xet hash:
- b8225f4944a78630d0d3835c4c9ed2d6bcbb6562d74de4dee8c4a14c10d815d9
- Size of remote file:
- 1.24 kB
- SHA256:
- 088a927b5983ff4275ffeb9aa641c22d329fb8e03cd8a8166a11fe66bad9bd6c
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