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Yntec
/
3I_Atlas

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Diffusers
Safetensors
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StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Style
Mind Control
Hypnosis
Film
artwork
Real
HDR photography
photos
iamxenos
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Dunkindont
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How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Yntec/3I_Atlas", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Work in progress.

Recipe:

  • SuperMerger Weight sum Train Difference Use MBW 0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1

Model A:

Kitsch-In-SyncV2

Model B:

Atlas

Output Model:

3I_Atlas

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