Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use Rac11m/sd-tryon-realistic_vision-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rac11m/sd-tryon-realistic_vision-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/Realistic_Vision_V6.0_B1_noVAE", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Rac11m/sd-tryon-realistic_vision-lora") 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 image_0.png from Rac11m/sd-tryon-realistic_vision-lora: direct link, hf CLI and curl.
- Browser
- Download file 312 kB
-
https://huggingface.co/Rac11m/sd-tryon-realistic_vision-lora/resolve/main/image_0.png
- Command line
-
hf download hf://Rac11m/sd-tryon-realistic_vision-lora/image_0.png
-
curl -L -o image_0.png https://huggingface.co/Rac11m/sd-tryon-realistic_vision-lora/resolve/main/image_0.png
312 kB

- Xet hash:
- 5a7d93fd81bd39a8a7578c86f6ea15b5078b8416528f723647a0c1daa164ac3c
- Size of remote file:
- 312 kB
- SHA256:
- dfbbba6eb0842735384cd6bca8a9d8796a6a74a5ca6e102999b4d3f3615efd09
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.