Instructions to use Keltezaa/realistic-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/realistic-vision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Keltezaa/realistic-vision") prompt = "realistic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.bin from Keltezaa/realistic-vision: direct link, hf CLI and curl.
- Browser
- Download file 134 Bytes
-
https://huggingface.co/Keltezaa/realistic-vision/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Keltezaa/realistic-vision/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Keltezaa/realistic-vision/resolve/main/vae/diffusion_pytorch_model.bin
134 Bytes
- Xet hash:
- 8995b68aae697318d7149cb11be273eb7f97dc88be4780c78d521a4a32e7e17d
- Size of remote file:
- 134 Bytes
- SHA256:
- 60f02b9c7a81744078475bd93894edb39aca50c43b3aa9d9725fac24eff318f3
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