Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Jackpot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Jackpot 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/Jackpot", 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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@@ -17,6 +17,8 @@ Celebrating my first model that starts with J with a model with this hash:
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Five sevens in a row! What other model has that? With a hash like that, who cares about the quality of the images this model produces? But I'll show you anyway...
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Samples and prompts:
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Five sevens in a row! What other model has that? With a hash like that, who cares about the quality of the images this model produces? But I'll show you anyway...
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WANT BETTER EYES FOR YOUR CHARACTERS? TRY TO SQUEE!!!: https://huggingface.co/Yntec/SQUEE
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Samples and prompts:
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