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vedalken
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mtg-pauper-stable-diffusion-1000steps

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Diffusers
Safetensors
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StableDiffusionPipeline
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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("vedalken/mtg-pauper-stable-diffusion-1000steps", dtype=torch.bfloat16, device_map="cuda")

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

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Model Description

  • Developed by: [vedalken]
  • Model type: [diffusers]
  • Language(s) (NLP): [english]
  • Finetuned from model [optional]: [CompVis/stable-diffusion-v1-4]
  • Hardware Type: [NVIDIA RTX A6000]
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CompVis/stable-diffusion-v1-4
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Dataset used to train vedalken/mtg-pauper-stable-diffusion-1000steps