Instructions to use Manojb/stable-diffusion-2-1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Manojb/stable-diffusion-2-1-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Manojb/stable-diffusion-2-1-base", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.fp16.bin from Manojb/stable-diffusion-2-1-base: direct link, hf CLI and curl.
- Browser
- Download file 1.73 GB
-
https://huggingface.co/Manojb/stable-diffusion-2-1-base/resolve/main/unet/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Manojb/stable-diffusion-2-1-base/unet/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Manojb/stable-diffusion-2-1-base/resolve/main/unet/diffusion_pytorch_model.fp16.bin
1.73 GB
- Xet hash:
- 1561b1051af76c57d337b0f19acdc3b71a3dc2e6116a82a06cfd25dda7f940c3
- Size of remote file:
- 1.73 GB
- SHA256:
- da861650fc7df96390abffcbb9bcf67b7c5566422fda5af9bc003605be65c5f3
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