Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
cartoon
art
Colorful
Vivid
Paintings
advokat
andite
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Pastelcake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Pastelcake 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/Pastelcake", 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:
- 74a076b233830d550cc0a4eb5f48dbc5938751bd2e87891c0a9ae3a89c2f91b5
- Size of remote file:
- 3.96 GB
- SHA256:
- 8008a8b935a89f5d462633d9a2bf22ff096a759f0b60f90ad764aec79bae8ad7
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