Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/EtherRealMix_LUX2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/EtherRealMix_LUX2 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/EtherRealMix_LUX2", 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
- Xet hash:
- 16ca3e7e492dc64a3458655e53859aebfee7e67fa095db7cc0482e21e99226f7
- Size of remote file:
- 335 MB
- SHA256:
- 8f8e6997159b4ad3be29909f20f5ba065ca6d7adfa24f17fc87f40abcdcd2eb5
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