Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
XpucT
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Deliberate2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Deliberate2 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/Deliberate2", 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
metadata
license: cc-by-nc-nd-4.0
library_name: diffusers
pipeline_tag: text-to-image
tags:
- General
- Anime
- Art
- XpucT
- stable-diffusion
- stable-diffusion-1.5
- stable-diffusion-diffusers
- diffusers
- text-to-image
base_model:
- Yntec/Deliberate
inference: true
Deliberate 2
768x768 version of this model with the MoistMix V2 VAE baked in for the Inference API.
Samples and prompt:
masterpiece,best quality, retro artstyle, a cute little witch's prophecy comes true, logo, cover, 1980s /style/
Original page:

