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Model reference · open weights

sotediffusion-wuerstchen3-decoder

Available as managed deployment Licence fee Image Disty0 · community Text→image 1 variants 1k dl/mo

sotediffusion-wuerstchen3-decoder is an open-weight image model from Disty0. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

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Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byDisty0
TypeImage models
TaskText→image
Runs withdiffusers
Released2024-06-10
Popularity1k downloads / month
LicenceCommercial licence needed

About

What sotediffusion-wuerstchen3-decoder is

Anime finetune of Würstchen V3.

Usage

Please refer to the main model: https://huggingface.co/Disty0/sotediffusion-wuerstchen3

Dataset

Trained with 512K images.

Read the full model card

Training:

GPU used for training: 1x AMD RX 7900 XTX 24GB GPU Hours: 100

Software used: https://github.com/2kpr/StableCascade

Config:

experiment_id: sotediffusion-wr3_3b-stage_b-alpha3
model_version: 3B
dtype: bfloat16
use_fsdp: False

batch_size: 16
grad_accum_steps: 16
updates: 102400
backup_every: 2048
save_every: 1024
warmup_updates: 128

lr: 1.0e-5
optimizer_type: Adafactor
adaptive_loss_weight: False
stochastic_rounding: True

image_size: 768
multi_aspect_ratio: [1/1, 1/2, 1/3, 2/3, 3/4, 1/5, 2/5, 3/5, 4/5, 1/6, 5/6, 9/16]
shift: 4

checkpoint_path: /mnt/DataSSD/AI/SoteDiffusion/Wuerstchen3/
output_path: /mnt/DataSSD/AI/SoteDiffusion/Wuerstchen3/
webdataset_path: file:/mnt/DataSSD/AI/anime_image_dataset/best/newest_best.tar

effnet_checkpoint_path: /mnt/DataSSD/AI/models/wuerstchen3/effnet_encoder.safetensors
stage_a_checkpoint_path: /mnt/DataSSD/AI/models/wuerstchen3/stage_a.safetensors
generator_checkpoint_path: /mnt/DataSSD/AI/SoteDiffusion/Wuerstchen3/generator_4k-016384.safetensors

Limitations and Bias

Bias

  • This model is intended for anime illustrations. Realistic capabilites are not tested at all.

Limitations

  • Far shot eyes are can bad.

License

SoteDiffusion models falls under Fair AI Public License 1.0-SD license, which is compatible with Stable Diffusion models’ license. Key points:

  1. Modification Sharing: If you modify SoteDiffusion models, you must share both your changes and the original license.
  2. Source Code Accessibility: If your modified version is network-accessible, provide a way (like a download link) for others to get the source code. This applies to derived models too.
  3. Distribution Terms: Any distribution must be under this license or another with similar rules.
  4. Compliance: Non-compliance must be fixed within 30 days to avoid license termination, emphasizing transparency and adherence to open-source values.

Notes: Anything not covered by Fair AI license is inherited from Stability AI Non-Commercial license which is named as LICENSE_INHERIT.

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys sotediffusion-wuerstchen3-decoder for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (sotediffusion-wuerstchen3-decoder below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"sotediffusion-wuerstchen3-decoder","prompt":"a red bicycle","size":"1024x1024"}'

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