Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Retro
Vintage
Illustrations
photorealistic
general
art
Elldreth
zoidbb
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/RetroRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RetroRemix 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/RetroRemix", 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
metadata
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Retro
- Vintage
- Illustrations
- photorealistic
- general
- art
- Elldreth
- zoidbb
- stable-diffusion
- stable-diffusion-1.5
- stable-diffusion-diffusers
- diffusers
- text-to-image
base_model:
- Yntec/WoopWoopRemix
- Yntec/ElldrethsRetroMix
base_model_relation: merge
Work in progress.
Recipe:
- SuperMerger Weight Sum Use MBW 0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0
Model A:
ElldrethsRetroMix
Model B:
WoopWoopRemix
Output:
RetroRemix