Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Character
Photorealistic
Woman
Man
Landscapes
camenduru
epinikion
dimonapatrick243
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Plushie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Plushie 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/Plushie", 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
Update README.md
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README.md
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- epinikion
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- dimonapatrick243
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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base_model:
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inference: true
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---
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-
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(Click for larger)
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(Click for larger)
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- epinikion
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- dimonapatrick243
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- stable-diffusion
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- stable-diffusion-1.5
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- stable-diffusion-diffusers
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- text-to-image
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base_model:
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inference: true
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---
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# Plushie
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This model guarantees better outputs than epiCDream and photographerAlpha7 when you are drawing plushies and batter than the plushies model when you aren't! Not convinced? Check out the comparisons below! Showcase and prompts:
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(Click for larger)
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(Click for larger)
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Cute apple plushies
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Cute Hamster plushie. Metallic furry. Shiny eyes, smile.
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Cute kitty cat plushies. Adorable eyes
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a Photograph with plushies toys of a young cute girl and her blond mother. Hugging teddy bear plushie. Bow, 1990 TV ad screen capture
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Note: This prompt has a space at the beginning.
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Original pages:
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https://huggingface.co/camenduru/plushies-pt
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https://civitai.com/models/179674?modelVersionId=201632 (photographerAlpha7)
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https://civitai.com/models/125189/epicdream
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# Recipes:
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- SuperMerger Weight Sum Use MBW 0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0
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Model A:
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plushies
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Model B:
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photographerAlpha7
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Output:
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plushiesAlpha7
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- SuperMerger Weight Sum Use MBW 0,0,0,0,0,0,0,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0
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Model A:
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plushiesAlpha7
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Model B:
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epiCDream
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Output:
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Plushie
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Bake in 840K VAE:
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PlushieVAE
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# Merge Block Weight Analysis
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If each corresponding block was labeled as this:
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p = plushies
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P = photographerAlpha7
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e = epiCDrean
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Then the weights of the model would read like this:
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p,p,p,p,p,p,p,e,e,e,e,e,e,p,P,P,P,P,P,P,p,p,p,p,p,p
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