Open-weight model · Unconditional image generation
sd-class-butterflies-32
by Changpan Ye eason1021/sd-class-butterflies-32
This model is a diffusion model for unconditional image generation of cute.
Runs On
What it takes to serve sd-class-butterflies-32 (19M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.
| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
|---|---|---|---|---|---|
| 16-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 8-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x MI300X (192 GB) Vultr |
$1.85 | 1x H100 $1.99 · 1x MI325X $2.00 |
Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Sep 18, 2026.
Model Card
By Changpan Ye, published under mit, revision 4962f1ec171c.
This model is a diffusion model for unconditional image generation of cute.
Read Changpan Ye's full model card
Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute.
Usage
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('eason1021/sd-class-butterflies-32')
image = pipeline().images[0]
image
Identity and Version
- Repository
- eason1021/sd-class-butterflies-32
- Publisher
- Changpan Ye
- Task
- Unconditional image generation
- Modality
- Other
- Library
- diffusers
- Parameters
- 19M parameters
- Languages
- Not stated by the source
- Revision
- 4962f1ec171cfe12c78fc2dcb6fefc8dc8026f90
- First published
- 2026-09-16
- Last updated
- 2026-09-18
Files and Weights
6 files, 74.2 MB in total. The weights are 1 file totalling 74.2 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| diffusion_pytorch_model.safetensors | Weights | 74.2 MB | 3009a11b522d |
| config.json | Configuration | 1.0 KB | — |
| model_index.json | Configuration | 181 B | — |
| scheduler_config.json | Configuration | 508 B | — |
| README.md | Documentation | 479 B | — |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
- Download size
- 74.2 MB
Released by Changpan Ye through its official repository on Hugging Face. Read the license.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 74.2 MB |
| 16-bit | 0.0 GB |
| 8-bit | 0.0 GB |
| 4-bit | 0.0 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About sd-class-butterflies-32
How much GPU memory does sd-class-butterflies-32 need?
About 0 GB at 16-bit and 0 GB at 4-bit: the weights (19M parameters) plus a working margin. A long context needs more.
What is the cheapest GPU to run sd-class-butterflies-32 on?
At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use sd-class-butterflies-32 commercially?
Yes. sd-class-butterflies-32 is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.