Zen3 Generation
Collection
Zen 3 generation — legacy zen-3-*, zen3-*, omni, nano, guard, image, reranker, 3d. • 5 items • Updated
How to use zenlm/zen3-image-ssd with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zenlm/zen3-image-ssd", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Distilled SDXL-class text-to-image model for faster inference.
Derived from segmind/SSD-1B (Apache-2.0); repackaged by Zen.
This repository repackages Segmind SSD-1B (a distilled SDXL, StableDiffusionXLPipeline, dual CLIP text encoders). No weights were trained from scratch by Zen.
Developed/repackaged by Hanzo AI and the Zoo Labs Foundation.
from diffusers import StableDiffusionXLPipeline
import torch
pipe = StableDiffusionXLPipeline.from_pretrained("zenlm/zen3-image-ssd", torch_dtype=torch.float16)
pipe = pipe.to("cuda")
image = pipe("A serene mountain landscape at sunset").images[0]
image.save("output.png")
| Attribute | Value |
|---|---|
| Base model | segmind/SSD-1B |
| Pipeline | StableDiffusionXLPipeline |
| License | Apache 2.0 |
Apache 2.0. This is a derivative repackaging of SSD-1B by Segmind, released under the Apache License 2.0. All rights and attribution for the underlying model belong to the original authors.
This product includes the SSD-1B model developed by Segmind, licensed under the Apache License 2.0.
Base model
segmind/SSD-1B