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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1783429274a7923b2306b784030cc62a2a539bc9fdd3a5529cc50e6d2fbfc1f9
- Size of remote file:
- 3.44 GB
- SHA256:
- 13633d9da3c289fcfc9b26b17e6d8e0f63bd4cc8400900f959acd067207b316f
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