Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Paintings
Style Art
Landscapes
Wick_J4
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/MGM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/MGM 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/MGM", 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
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README.md
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license: other
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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license: other
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tags:
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- Paintings
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- Style Art
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- Landscapes
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- Wick_J4
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- stable-diffusion
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- stable-diffusion-diffusers
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- text-to-image
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- diffusers
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inference: true
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---
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# MGM
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This model with the zVAE baked in.
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Sample and prompt:
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pretty cute little girl in tricycle, Screenshot of an surreal light pink 70s round minimalist architecture, Sharp, 35mm still from a sci fi blockbuster color movie made in 2022, beautiful portrait, Dorothy, set in 1860, in front of a spaceship that has just landed on an alien planet, a robot stands nearby, are all wearing
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Original page: https://civitai.com/models/109568/mgmv1
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Version without VAE: https://huggingface.co/digiplay/MGM
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