Instructions to use Miayan/freelit-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Miayan/freelit-checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Miayan/freelit-checkpoint", 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 train_r2_diff_ctrl/diffusion_pytorch_model.safetensors from Miayan/freelit-checkpoint: direct link, hf CLI and curl.
- Browser
- Download file 1.46 GB
-
https://huggingface.co/Miayan/freelit-checkpoint/resolve/main/train_r2_diff_ctrl/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Miayan/freelit-checkpoint/train_r2_diff_ctrl/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Miayan/freelit-checkpoint/resolve/main/train_r2_diff_ctrl/diffusion_pytorch_model.safetensors
1.46 GB
- Xet hash:
- b45d7d78338f629625e11cf36b2a8cd6883c17e379e676ddb666f3112fe7dfdc
- Size of remote file:
- 1.46 GB
- SHA256:
- 439020241fddfc05005e9be7d0feb74bf5e6af92e1852e740662cdaecd991d05
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