Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photo
Versatile
Realistic
Art
Sexy
Pinups
Girls
Seeker70
iamxenos
RIXYN
Barons
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/PopCorn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/PopCorn 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/PopCorn", 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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- stable-diffusion-diffusers
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- diffusers
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- text-to-image
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# Pop Corn
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- stable-diffusion-diffusers
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- diffusers
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- text-to-image
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base_model:
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- digiplay/Acorn_Photo_v1
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- Yntec/CocaCola
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base_model_relation: merge
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# Pop Corn
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