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Bingsu
/
adsd_pipeline

Diffusers
PyTorch
Model card Files
xet
 Community
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("Bingsu/adsd_pipeline", dtype=torch.bfloat16, device_map="cuda")

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

Custom Pipeline for Auto Inpainting 

import torch
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained(
    "stablediffusionapi/counterfeit-v30",
    torch_dtype=torch.float16,
    custom_pipeline="Bingsu/adsd_pipeline"
)
pipe.safety_checker = None
pipe.to("cuda")

common = {"prompt": "masterpiece, best quality, 1girl", "num_inference_steps": 28}
result = pipe(common=common)

images = result[0]

github: https://github.com/Bing-su/asdff

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