Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/LunarDiffusion_v1.27 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/LunarDiffusion_v1.27 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/LunarDiffusion_v1.27", 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:
- 4e012c914e0da3e6b44651fe50b8345e03eef5c302be3b20674c0e833335da67
- Size of remote file:
- 492 MB
- SHA256:
- bfc2490cabb57b631b8631a53232525a59647b7dd0cfa63f2f78bd5dd31b57c1
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