Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-xl
anime
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ray0rf1re/AniNixIm-D", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]AniNixIm-D
This is a diffusers version of the model originally located at ray0rf1re/AniNixIm.
Converted file: aninimim_f32.safetensors
Pipeline Type: SD1.5/2.1
Variants Available: fp32,
Usage
from diffusers import DiffusionPipeline
import torch
# Load FP32 (Default)
pipeline = DiffusionPipeline.from_pretrained(
"ray0rf1re/AniNixIm-D",
torch_dtype=torch.float32
)
# OR Load BF16 (Optimized)
# pipeline = DiffusionPipeline.from_pretrained(
# "ray0rf1re/AniNixIm-D",
# torch_dtype=torch.bfloat16,
# variant="bf16"
# )
pipeline.to("cuda")
image = pipeline("masterpiece, best quality, 1girl, solo").images[0]
image.save("output.png")
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