Instructions to use ItsJayQz/Valorant_Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsJayQz/Valorant_Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsJayQz/Valorant_Diffusion", 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 Settings
- Draw Things
- DiffusionBee
Download Valorant_Diffusion_valorant_style.ckpt from ItsJayQz/Valorant_Diffusion: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/ItsJayQz/Valorant_Diffusion/resolve/main/Valorant_Diffusion_valorant_style.ckpt
- Command line
-
hf download hf://ItsJayQz/Valorant_Diffusion/Valorant_Diffusion_valorant_style.ckpt
-
curl -L -o Valorant_Diffusion_valorant_style.ckpt https://huggingface.co/ItsJayQz/Valorant_Diffusion/resolve/main/Valorant_Diffusion_valorant_style.ckpt
2.13 GB
- Xet hash:
- 96c55560ae13c29c1175b95b97b5bb36d91390bc34c7bf002a7e75f3d4fcb2e6
- Size of remote file:
- 2.13 GB
- SHA256:
- ace31214587fbfa88a25c957d7b55e30b25bc97996f559076fe780530d7d342b
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