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_2.png from Rac11m/sd-tryon-realistic_vision-lora: direct link, hf CLI and curl.
- Browser
- Download file 348 kB
-
https://huggingface.co/Rac11m/sd-tryon-realistic_vision-lora/resolve/main/image_2.png
- Command line
-
hf download hf://Rac11m/sd-tryon-realistic_vision-lora/image_2.png
-
curl -L -o image_2.png https://huggingface.co/Rac11m/sd-tryon-realistic_vision-lora/resolve/main/image_2.png
348 kB

- Xet hash:
- 74f8cc0bb3563486880e8aeffc6e656cf1c7d5a2fc007c387b0958e8aad289d3
- Size of remote file:
- 348 kB
- SHA256:
- 025777c18798092aa74f034d7ef00fe320ea3478cd72b3828b200adb0727748c
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