Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
nutbutter
acheong08
Instructions to use Yntec/Reddit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Reddit 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/Reddit", torch_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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# Reddit
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A mix of
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# Reddit
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A mix of RedditAlpha and REV 1.0, with the Color101VAE baked in.
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Sample and prompt:
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cute pretty girl, sitting, detailed chibi eyes, holding super soaker, beautiful detailed legs, cowgirl, gorgeous detailed hair, cowboy hat, magazine ad, iconic, 1943, from the movie, sharp focus. visible brushstrokes by kyoani and clay mann
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Original page:
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https://civitai.com/models/5216?modelVersionId=6048
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# RedditOmega
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A model made by mistake by using Weighted Sum 0.3 instead of 0.7, but it's a nice model still.
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# RedditAlpha
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A mix of F222 wih subreddit-v3 (many attempts were done to implement subreddit-v4 to v6 but all of them failed.) This is an unsafe model and should only be be used for reseach purposes.
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# Recipes
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Weighted Sum 0.5 F222 + subreddit-v3 = RedditBeta
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Add Difference 1.0 sd-1.5 + (RedditBeta - sd-1.4) = RedditAlpha
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Weighted Sum 0.3 REV + RedditAlpha = RedditOmega
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Weighted Sum 0.7 REV + RedditAlpha = RedditZeta
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Bake VAE Color 101 = Reddit
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