Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General
Anime
Art
Girl
Photorealistic
3D
LandScapes
stable-diffusion
stable-diffusion-diffusers
XpucT
Lykon
Instructions to use Yntec/DeliShaper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DeliShaper 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/DeliShaper", 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:
- 5da728dcb8d603e63f0302085ba7462a4a7186bcb1241439cf3fddca9d413463
- Size of remote file:
- 246 MB
- SHA256:
- a915387a58ff74f620b01ea924eff31fb580517f2c2f3336b4170cd9267bc39f
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