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Model reference · open weights

AstolfoMix

Available as managed deployment Image 6DammK9 · community Text→image 1 variants 1k dl/mo

AstolfoMix is an open-weight image model from 6DammK9. 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 by6DammK9
TypeImage models
TaskText→image
Runs withdiffusers
Released2023-09-12
Popularity1k downloads / month
LicenceOpen weights

About

What AstolfoMix is

  • Preview here are powered by the top session of README.md and converting SDXL model from A1111 standalone file into diffuers via convert_original_stable_diffusion_to_diffusers.py. Settings may not being optimal (no CFG / PAG / FreeU etc). I'll replace the preview diffuser as soon as I upload the main model file.
Read the full model card

"21b"

parameters

(aesthetic:0), (quality:0), (solo:0.98), (boy:0), (wide_shot:0), [astolfo], [[[[astrophotography]]]]
Negative prompt: (worst:0), (low:0), (bad:0), (exceptional:0), (masterpiece:0), (comic:0), (extra:0), (lowres:0), (breasts:0.5)
Steps: 256, Sampler: Euler, CFG scale: 4.5, Seed: 1921923808, Size: 1792x768, Model hash: 28adb7ba78, Model: 21b-AstolfoMix-2020b, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.2, \"skip_factor\": 0.9}, {\"backbone_factor\": 1.4, \"skip_factor\": 0.2}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 2, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.5, Threshold percentile: 100, Version: v1.6.1
  • Current version: 21b-AstolfoMix-2020b.safetensors (merge of 20 + 1 models)
  • Recommended version: "21b"
  • Recommended CFG: 4.0

Reinforced

  • Using AutoMBW (bayesian merger but less powerful) for the same set of 20 models.
  • BayesianOptimizer with ImageReward.
parameters

(aesthetic:0), (quality:0), (race queen:0.98), [[braid]], [astolfo], [[[[nascar, nurburgring]]]]
Negative prompt: (worst:0), (low:0), (bad:0), (exceptional:0), (masterpiece:0), (comic:0), (extra:0), (lowres:0), (breasts:0.5)
Steps: 256, Sampler: Euler, CFG scale: 4, Seed: 142097205, Size: 1024x576, Model hash: aab8357cdc, Model: 20b-AstolfoMix-18b19b, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.2, \"skip_factor\": 0.9}, {\"backbone_factor\": 1.4, \"skip_factor\": 0.2}]", FreeU Schedule: "0.0, 1.0, 0.0", FreeU Version: 2, Hires upscale: 2.5, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.5, Threshold percentile: 100, Version: v1.6.0-2-g4afaaf8a
  • Current version: 20b-AstolfoMix-18b19b (merge of 20 models)
  • Recommended version: "20b"
  • Recommended CFG: 4.0

Extended

  • Is 10 model ensemble robust enough? How about 20, with 10 more radical models?
  • For EMB / LoRAs, best fit will be models trained from NAI. Just use them, most of them will work.
parameters
(aesthetic:0), (quality:0), (1girl:0), (boy:0), [[shirt]], [[midriff]], [[braid]], [astolfo], [[[[sydney opera house]]]]
Negative prompt: (worst:0), (low:0), (bad:0), (exceptional:0), (masterpiece:0), (comic:0), (extra:0), (lowres:0), (breasts:0.5)
Steps: 256, Sampler: Euler, CFG scale: 4, Seed: 341693176, Size: 1344x768, Model hash: 41429fdee1, Model: 20-bpcga9-lracrc2oh-b11i75pvc-gf34ym34-sd, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.2, \"skip_factor\": 0.9}, {\"backbone_factor\": 1.4, \"skip_factor\": 0.2}]", FreeU Schedule: "0.0, 1.0, 0.0", Hires upscale: 2, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.7, Threshold percentile: 100, Version: v1.6.0
  • Current version: 20-bpcga9-lracrc2oh-b11i75pvc-gf34ym34-sd.safetensors (merge of 20 models)
  • Recommended version: "20"
  • Recommended CFG: 4.5 4.0

Baseline

  • A (baseline) merge model focusing on absurdres, and let me wait for a big anime SDXL finetune.
  • Behind the "absurdres", the model should be very robust and capable for most LoRAs / embeddings / addons you can imagine.
  • The image below is 2688x1536 without upscaler. With upscaler, it reaches 8K already.
  • The image below is 10752x6143, and it is a 3.25MB JPEG. "upscaler 4x". See PNG info below. Removed because some it failed to preview on some browsers.
parameters
(aesthetic:0), (quality:0), (solo:0), (boy:0), (ushanka:0.98), [[braid]], [astolfo], [[moscow, russia]]
Negative prompt: (worst:0), (low:0), (bad:0), (exceptional:0), (masterpiece:0), (comic:0), (extra:0), (lowres:0), (breasts:0.5)
Steps: 256, Sampler: Euler, CFG scale: 4.5, Seed: 132385090, Size: 1344x768, Model hash: 6ffdb39acd, Model: 10-vcbpmtd8_cwlbdaw_eb5ms29-sd, VAE hash: 551eac7037, VAE: vae-ft-mse-840000-ema-pruned.ckpt, Denoising strength: 0.7, Clip skip: 2, FreeU Stages: "[{\"backbone_factor\": 1.2, \"skip_factor\": 0.9}, {\"backbone_factor\": 1.4, \"skip_factor\": 0.2}]", FreeU Schedule: "0.0, 1.0, 0.0", Hires upscale: 2, Hires steps: 64, Hires upscaler: Latent, Dynamic thresholding enabled: True, Mimic scale: 1, Separate Feature Channels: False, Scaling Startpoint: MEAN, Variability Measure: AD, Interpolate Phi: 0.7, Threshold percentile: 100, Version: v1.6.0
  • Current version: 10-vcbpmtd8_cwlbdaw_eb5ms29-sd.safetensors (merge of 10 models)
  • Recommended version: "06a" or "10"
  • [Receip

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

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