Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Style
Photo
Easy
Photorealistic
Clothes
bigbeanboiler
Photographer
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NextPhoton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NextPhoton 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/NextPhoton", 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
- Draw Things
- DiffusionBee
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README.md
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- diffusers
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- text-to-image
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---
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- diffusers
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- text-to-image
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---
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# Next Photon
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Next Photo 2 merged with Photon to make them real! Samples and prompts (all use seed 9119):
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A well lit photograph of a girl having fun with her boyfriend and friends at the bar. Coke can.
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An abandoned amusement park reclaimed by nature, with rusted roller coasters and a carousel frozen in time.
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A well lit candid closeup street photograph of a normal, yet beautiful girl posing in the club
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A photo of a steampunk-inspired airship soaring through the sky, propelled by a magnificent array of gears and turbines.
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Original pages:
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https://civitai.com/models/84728/photon
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https://civitai.com/models/84335?modelVersionId=109819 (Next Photo 2)
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# Recipe:
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- SuperMerger Weight Sum use MBW 1,0,0,0,0,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1,0,0,0,1,1,1
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Model A:
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Next Photo 2
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Model B:
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Photon
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Output:
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NextPhoton
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