Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
general
andite
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnythingRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnythingRemix 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/AnythingRemix", 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
language:
- en
license: creativeml-openrail-m
tags:
- anime
- general
- andite
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
base_model:
- Yntec/AnythingV4
- Yntec/AnythingV4.5
base_model_relation: merge
Anything Remix
A mix of my favortie models, Anything 4.0 and Anything 4.5 to bring the best of both worlds into a single model. It has the MoistMixV2VAE baked in.
Sample and prompt:
pastel art by Kyoani OF ray tracing with his seven daughters, award winning, pretty cute girls, skirts, pajamas, at the gym, very detailed faces, beautiful chibi eyes, high quality Anime scenery by rossdraws and ross tran and ilya kuvshinov
Original pages:
https://huggingface.co/xyn-ai/anything-v4.0
https://huggingface.co/shibal1/anything-v4.5-clone
Recipe
- SuperMerger Weight sum Train Difference Use MBW 1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
Model A:
anything v4.0
Model B:
anything v4.5
Output Model:
AnythingRemix
- Bake MoistMixV2VAE in
Output Model:
AnythingRemixVAE
