Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Game Art
General purpose
Logos
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Gacha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Gacha 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/Gacha", 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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library_name: diffusers
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pipeline_tag: text-to-image
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tags:
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- stable-diffusion
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- stable-diffusion-diffusers
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- diffusers
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- text-to-image
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inference: true
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library_name: diffusers
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pipeline_tag: text-to-image
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tags:
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- Game Art
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- General purpose
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- Logos
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- stable-diffusion
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- stable-diffusion-diffusers
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- diffusers
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- text-to-image
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inference: true
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---
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# Gacha
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A model with the gacha mechanic implemented to get you addicted to generating images.
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Samples and prompts:
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(Click for larger)
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Top left: a lemon themed hamburger, high quality
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Top right: a basket full of cherries, grass by wess anderson, high quality
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Bottom left: A mushroom themed cake, high quality pie
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Bottom right: highly detailed chibi koala in kitchen, hammer chef, fish, dungeons and dragons
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