Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use digiplay/PhotoSomnia_vFinal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use digiplay/PhotoSomnia_vFinal 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/PhotoSomnia_vFinal", 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
- Xet hash:
- 3d147d3c3a413037d4b46d8700eca0fe46d664d7c45b0fe0f0ab2db7cad047f4
- Size of remote file:
- 335 MB
- SHA256:
- 0a615b89a1aed65ae01dfe32ebac45a2afd51e4de3a9cbc2d377bd0be7844c7e
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