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("gaianet/stable-diffusion-3.5-large-GGUF", dtype=torch.bfloat16, device_map="cuda")

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

stable-diffusion-3.5-large-GGUF

Original Model

stabilityai/stable-diffusion-3.5-large

Quantized with stable-diffusion.cpp master-ac54e00.

Downloads last month
246
GGUF
Model size
0.7B params
Architecture
Hardware compatibility
Log In to add your hardware

4-bit

5-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for gaianet/stable-diffusion-3.5-large-GGUF

Quantized
(11)
this model

Collection including gaianet/stable-diffusion-3.5-large-GGUF