Instructions to use edurnebb/PreciseCam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use edurnebb/PreciseCam with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("edurnebb/PreciseCam", 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 diffusion_pytorch_model.safetensors from edurnebb/PreciseCam: direct link, hf CLI and curl.
- Browser
- Download file 5 GB
-
https://huggingface.co/edurnebb/PreciseCam/resolve/main/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://edurnebb/PreciseCam/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/edurnebb/PreciseCam/resolve/main/diffusion_pytorch_model.safetensors
5 GB
- Xet hash:
- ae4b9dbf6dbf398ede7d70a7509713b41ddbbb33968ad5ffb47709af50979229
- Size of remote file:
- 5 GB
- SHA256:
- 673083d091f2a00284e3fcb647f3a4db95bc575e3d337140c5c55b336410a5a6
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