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_1.png from Rac11m/sd-tryon-realistic_vision-lora: direct link, hf CLI and curl.
- Browser
- Download file 342 kB
-
https://huggingface.co/Rac11m/sd-tryon-realistic_vision-lora/resolve/main/image_1.png
- Command line
-
hf download hf://Rac11m/sd-tryon-realistic_vision-lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/Rac11m/sd-tryon-realistic_vision-lora/resolve/main/image_1.png
342 kB

- Xet hash:
- 3fdf3246e97a372e58ccaacbe75e6a677d77ab5418dc5204b68f7542f89c6be5
- Size of remote file:
- 342 kB
- SHA256:
- d1fb81a97dd046346dd8bb3a95e6b86a1011fff8b31377e5d9be89064cff3931
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