Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General Purpose
Aesthetic
Wild
Paintings
Style Art
Landscapes
Wick_J4
stablydiffused
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Magnum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Magnum 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/Magnum", 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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https://civitai.com/models/12862/stablydiffuseds-magnum-opus
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# Recipe
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- SuperMerger Weight sum use MWB 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0
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Model A:
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Model B: MGM
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https://civitai.com/models/12862/stablydiffuseds-magnum-opus
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Due to conflicting licenses this model became unlicensed so I relicensed it as apache-2.0.
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# Recipe
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- SuperMerger Weight sum use MWB 0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0
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Model A: Stablydiffused'sMagnum
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Model B: MGM
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