Instructions to use krnl/stable-diffusion-v15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use krnl/stable-diffusion-v15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krnl/stable-diffusion-v15", 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 vae/text_encoder/model.safetensors from krnl/stable-diffusion-v15: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/krnl/stable-diffusion-v15/resolve/main/vae/text_encoder/model.safetensors
- Command line
-
hf download hf://krnl/stable-diffusion-v15/vae/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/krnl/stable-diffusion-v15/resolve/main/vae/text_encoder/model.safetensors
492 MB
- Xet hash:
- 40dc6f059e7caa7e5934d1695d2edafaf9b6fd2f7e732015e91defd36cde5223
- Size of remote file:
- 492 MB
- SHA256:
- d008943c017f0092921106440254dbbe00b6a285f7883ec8ba160c3faad88334
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