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
| 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 |