Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Ultra Detailed
Ultra Realistic
Ultra Versatile
Photographic
Cinematic
artificialguybr
LEOSAM
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/UltraHighDefinition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/UltraHighDefinition with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/UltraHighDefinition", 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:
- 4ec51224a7e299b27b5ed7fd8a9a041ffd93ca59d60862e731c9867d0a317362
- Size of remote file:
- 492 MB
- SHA256:
- 2aab245cda423a8a58bb7d9714fdb7598774d14675920fadc98b9538c76c4320
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