Instructions to use stablediffusionapi/specializedcutestylelin-v9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/specializedcutestylelin-v9 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/specializedcutestylelin-v9", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.fp16.safetensors from stablediffusionapi/specializedcutestylelin-v9: direct link, hf CLI and curl.
- Browser
- Download file 1.72 GB
-
https://huggingface.co/stablediffusionapi/specializedcutestylelin-v9/resolve/b9e08bcab70511bc9c6665e31919b10cf1e9558b/unet/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://stablediffusionapi/specializedcutestylelin-v9@b9e08bcab70511bc9c6665e31919b10cf1e9558b/unet/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/stablediffusionapi/specializedcutestylelin-v9/resolve/b9e08bcab70511bc9c6665e31919b10cf1e9558b/unet/diffusion_pytorch_model.fp16.safetensors
1.72 GB
- Xet hash:
- 97e04578a6d51aff343c3058d7150d2330b61437de01ed3040bae04a32e45610
- Size of remote file:
- 1.72 GB
- SHA256:
- 6c82ea7dac5a3a32a41532d462966197eebdcfcaabe8cefd38b2822cf67fdd01
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