Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
cartoon
art
illustration
cute
advokat
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Cheesecake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Cheesecake 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/Cheesecake", 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: 1,098 Bytes
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license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- cartoon
- art
- illustration
- cute
- advokat
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
Note: The model that used to be here has been renamed to CheesecakeAlpha.
# Chessecake
A mix of Maple Syrup and Tantrum to bring their sweetness together! The new version improves coherency and backgrounds over CheesecakeAlpha! Work in progress.
Original pages:
https://civitai.com/models/6550?modelVersionId=7684 (MapleSyrup)
https://huggingface.co/Yntec/Tantrum
# ChessecakeAlpha
The original version, check comparison, samples and prompts at https://huggingface.co/Yntec/Cheesecake/discussions/2
# Recipes:
- SuperMerger Weight sum Train Difference Use MBW 0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0
Model A:
MapleSyrup
Model B:
Tantrum
Output Model:
CheesecakeAlpha
- SuperMerger Weight sum Train Difference Use MBW 0,0,0,1,1,1,1,1,1,1,1,1,1,1,0,1,1,0,0,0,0,0,0,0,0,0
Model A:
MapleSyrup
Model B:
Tantrum
Output Model:
Cheesecake
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