Instructions to use KSYJA/KSYJAwan-realistic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KSYJA/KSYJAwan-realistic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KSYJA/KSYJAwan-realistic", 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
Demo for this model on Spaces
Hi @KSYJA 🤗
I'm Apolinario, from the open-source team at Hugging Face. Congrats and thanks for open-sourcing KSYJA/KSYJAwan-realistic on the Hub! We were excited about this work and built with an agent an interactive demo app of it on Hugging Face Spaces, running on a free ZeroGPU infrastructure.
Here's a link to the demo: https://huggingface.co/spaces/hugging-apps/ksyjawan-realistic-i2v
We would love to transfer this demo to you or your organization. Would you like this demo to live under your own account or organization? If so just let me know here which username to transfer to, and we'll transfer the Space over to you, we hope it can give your work more visibility, discoverability and allows folks to try it out.
(If you have any questions or just want to chat more about this, you can find me on Twitter, LinkedIn or apolinario @ huggingface.co)
Cheers,
Poli
Hi Poli! Thank you so much for the appreciation. I would be happy to accept the transfer of that interactive demo Space to my username: KSYJA. As an additional note, I have another custom Space for the MiniMax model here: KSYJA/MinimaxH3Turbo-Realisme-lora ( https://huggingface.co/spaces/KSYJA/MinimaxH3Turbo-Realisme-lora ). The code is entirely standard, yet I am encountering issues with the ZeroGPU queue. Even when users have full credits, queue times can be extremely long, repeatedly triggering 60-second timeout errors—sometimes persisting for over an hour without a GPU being allocated despite repeated attempts—whereas other video Spaces seem to gain instant GPU access. Could you help check how the queue system is handling this Space? Alternatively, would it be possible to obtain a Community Grant or a priority boost so that this Space can run smoothly without limitations, just like other video Spaces? Thank you very much for your amazing support!