Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Art
Illustration
Cartoon
XpucT
s6yx
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Reanimate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Reanimate 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/Reanimate", 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
File size: 1,005 Bytes
2a3ea87 07d0e49 2a3ea87 07d0e49 2a3ea87 07d0e49 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | ---
license: other
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Art
- Illustration
- Cartoon
- XpucT
- s6yx
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
---
# Reanimate
A mix of ReVAnimated by s6yx and Deliberate by XpucT to bring my favorite things from those models together! The zVAE is baked in.
Comparison

(Click for larger)
Sample and prompt:

masterpiece,best quality, retro artstyle, a cute little witch's prophecy comes true, logo, 1980s /style/, cover
# Recipe:
- SuperMerger Weight sum Train Difference Use MBW 1,0,0,0,0,0,0,0,0,1,0,0,1,0,1,1,1,1,1,1,1,0,1,1,0,1
Model A:
Deliberate
Model B:
ReVAnimated
Output Model:
Reanimate
- Bake zVAE
Output Model:
ReanimateVAE |