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 text_encoder/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/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Keltezaa/realistic-vision/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Keltezaa/realistic-vision/resolve/main/text_encoder/pytorch_model.bin
134 Bytes
- Xet hash:
- 13f6bbe99b50d537e6ebec469e642e20bfc5a339acc2826565b0a0d894d5b790
- Size of remote file:
- 134 Bytes
- SHA256:
- a5ea31d6ad680c77ee7e2df0f39ff26ccae897869e723c5ea8477f3a1fbdf60b
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