Instructions to use recky101/new_l_cfld_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use recky101/new_l_cfld_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("recky101/new_l_cfld_model", 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 checkpoints/pytorch_model.bin from recky101/new_l_cfld_model: direct link, hf CLI and curl.
- Browser
- Download file 969 MB
-
https://huggingface.co/recky101/new_l_cfld_model/resolve/main/checkpoints/pytorch_model.bin
- Command line
-
hf download hf://recky101/new_l_cfld_model/checkpoints/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/recky101/new_l_cfld_model/resolve/main/checkpoints/pytorch_model.bin
969 MB
- Xet hash:
- 734c16d6ff347f6ebb291b4bc187d127d673b08c884409a908fa8addf69bdfef
- Size of remote file:
- 969 MB
- SHA256:
- 75fb54e31320b658decdf20ae9bd9a42f1c74ef0c9968775730790891f72c86a
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