Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Realism
Photo
Aesthetic
Character
Jehovah
festival
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/DelicateModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DelicateModel 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/DelicateModel", 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:
- 506b19c29a980b3e7cf519c2c57329a6741104cbae2733a6fa93f0b5d20f2a46
- Size of remote file:
- 335 MB
- SHA256:
- 27c5f3dd4537ba44d9afe878d0271711fed6f056f074faf09c160d77125a8c12
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