Instructions to use Yntec/MemojiRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/MemojiRemix 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/MemojiRemix", 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
ANOTHER MODEL THAT JUST WORKS WITH SHORT PROMPTS
Memoji Remix
Use "memoji" on your prompts. Or not? Memoji's author never shared the prompts that triggered the style, so I merged it with incha re zoro which delivers regardless of your prompt. Samples and prompts:
a taylor swift memoji
a panda memoji with cute anime eyes in the forest
an Elsa memoji
a burger memoji. French fries, a can of soda.
Cartoon CUTE LITTLE baby, gorgeous detailed hair, looking, cute socks, holding pillow, Magazine ad, iconic, 1940, sharp focus. pencil art By KlaysMoji and Clay Mann and and leyendecker. CHIBI
Original pages:
https://civitai.com/models/23111?modelVersionId=27607 (Memoji Diffusion v1)
https://civitai.com/models/171390/incharezoro?modelVersionId=192546
Recipe
- SuperMerger Add Difference Train Difference Alpha 1
Model A: Memoji Diffusion
Model B: Incha Re Zoro
Model C: Stable Diffusion 1.5 (https://huggingface.co/Yntec/stable-diffusion-v1-5)
Output Model:
MemojiRemix
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