Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/SXZ_Luma_v0.98VAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/SXZ_Luma_v0.98VAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("digiplay/SXZ_Luma_v0.98VAE", 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
Model info :
https://civitai.com/models/25831?modelVersionId=68200
Sample images I made :
(generated by Hugginface's API)

Original Author's DEMO images :
noEMA version is from Yntec :
https://huggingface.co/Yntec/Luma
Yntec has many cool merge models, very recommend to use/try. ππ
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