import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("akleine/tiny-sd-turbo_q8_0", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Download model
Quantized to GGUF from https://huggingface.co/cc-nms/tiny-sd-turbo based on https://huggingface.co/stabilityai/sd-turbo
This gguf file is intended for running with sd.cpp . All credits go to: stabilityai, madebyollin, cc-nms. For questions regarding licensing and usage, go to:
- https://huggingface.co/stabilityai/sd-turbo
- https://huggingface.co/madebyollin/taesd
- https://huggingface.co/cc-nms/tiny-sd-turbo
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