import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Azher/Anything-v4.5-vae-fp16-diffuser", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model: Anything v4.5
This diffuser is suitable for inference.
Has the following properties that are bundled right out of the box:
- Included: vae
- Half-precision floating point format: fp16
Model Sample Outputs
Output Information:
- Prompt:
beautiful, masterpiece, black dress, black hair, red eyes, pale, 1girl, stunning, black collar choker, jeweled earrings
- Negative Prompt:
lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, nsfw
- Setup:
Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 11, Size: 512x512
Model Sources
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