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DragonFire0159x
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OpenNijijourney-v1

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Diffusers
StableDiffusionPipeline
stable-diffusion
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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("DragonFire0159x/OpenNijijourney-v1", torch_dtype=torch.bfloat16, device_map="cuda")

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

DragonFire0159x/OpenNijijourney-v1

Trained on 503 images generated by niji-journey

Based on SD 1.5

Iterations: 1500

P.S: Before prompt add: "niji5style" or "niji5style, anime". For example: niji5style, anime, fire dragon on nature

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Dataset used to train DragonFire0159x/OpenNijijourney-v1