Instructions to use SG161222/RealVisXL_V5.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SG161222/RealVisXL_V5.0 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/RealVisXL_V5.0", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Hello, thank you for your contribution. Is this model based on sdxl? Do you support sdxl's ControlNet and IP Adapter? Will there be a lightweight version available
Hello, thank you for your contribution. Is this model based on sdxl? Do you support sdxl's ControlNet and IP Adapter? Will there be a lightweight version available
Hello, thank you for your contribution. Is this model based on sdxl? Do you support sdxl's ControlNet and IP Adapter? Will there be a lightweight version available
Thank you very much! Yes, the model is based on SDXL and should support ControlNet and IP Adapter. What do you mean by the word "lightweight"?
I think he's referring to a lightning version, with less steps (like RealVisXL v4.0 Lightning)
I think he's referring to a lightning version, with less steps (like RealVisXL v4.0 Lightning)
Yes, there will be a Lightning version of the model, but it will be available once I finish training the model.
Hello there, awesome checkpoints!, some questions, on civit ai the fp32 version will be available to download as well or that will be only here?,also, the fp32 version is the full power of the model right?