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Model reference · open weights

EasyFluff

Available as managed deployment Image zatochu · community Text→image 1 variants 2k dl/mo

EasyFluff is an open-weight image model from zatochu. 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 byzatochu
TypeImage models
TaskText→image
Parameters (lead)860M
Runs withdiffusers
Released2023-08-12
Popularity2k downloads / month
LicenceUnknown

About

What EasyFluff is

V10-FunnerEdition?

  • Tweaked UNET with supermerger adjust to dial back noise/detail that can resolve eye sclera bleed in some cases.
  • Adjusted contrast and color temperature. (Less orange/brown by default)
  • CLIP should theoretically respond more to natural language. (Don't conflate this with tags not working or having to use natural language. Also it is not magic, so don't expect extremely nuanced prompts to work better.)
  • FunEdition and FunEditionAlt are earlier versions before adjusting the UNET further to fix color temperature and color bleed. CLIP on these versions may be less predictable as well.

HOW TO RUN THIS MODEL

  • This is a terminal-snr-v-prediction model and you will need an accompanying configuration file to load the checkpoint in v-prediction mode. Relevant configuration files are available in this repository. Place them in the same folder as the checkpoint. ComfyUI users will need to place this configuration file in models/configs and use the Load Checkpoint (With Config) node.

Read the full model card

  • You will also need https://github.com/Seshelle/CFG_Rescale_webui. This extension can be installed from the Extensions tab by copying this repository link into the Install from URL section. A CFG Rescale value of 0.7 is recommended by the creator of the extension themself. The CFG Rescale slider will be below your generation parameters and above the scripts section when installed. If you do not do this and run inference without CFG Rescale, these will be the types of results you can expect per this research paper. https://arxiv.org/pdf/2305.08891.pdf

  • If you are on ComfyUI, you will need the sampler_rescalecfg.py node from https://github.com/comfyanonymous/ComfyUI_experiments. Same value recommendation applies.

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

    Using it via the API

    Call it like any OpenAI endpoint

    Once AxForge deploys easyfluff for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (easyfluff 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":"easyfluff","prompt":"a red bicycle","size":"1024x1024"}'

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