Text-to-Image
Diffusers
ONNX
Safetensors
OpenVINO
English
StableDiffusionPipeline
art
anime
stable diffusion
Instructions to use Disty0/SoteMixV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/SoteMixV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/SoteMixV2", 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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Second Pass / Hires:
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Sampler: `Euler` / `Euler a`
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Steps: `10` with `Euler` / `20` with `Euler a`
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Upscaler: `RealESRGAN 4x+ Anime6B` / `ESRGAN 4x-AnimeSharp` with 0.3-0.4 denoise strength.
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CFG: `11`
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Resolution: `2x` of the base resolution.
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Second Pass / Hires:
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Sampler: `Euler` / `Euler a`
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Steps: `10` with `Euler` / `20` with `Euler a`
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Upscaler: `RealESRGAN 4x+ Anime6B` / `ESRGAN 4x-AnimeSharp` with `0.3`-`0.4` denoise strength.
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CFG: `11`
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Resolution: `2x` of the base resolution.
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