๐Ÿง 
Ghibli Diffusion model by nitrosocke
โญ 23
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Model

Ghibli Diffusion

by nitrosocke hf-model--nitrosocke--ghibli-diffusion
Nexus Index
23.0 Top 2%
P / V / C / U Breakdown Calibration Pending

Pillar scores are computed during the next indexing cycle.

Tech Context
Vital Performance
2.9K DL / 30D
0.0%

This is the fine-tuned Stable Diffusion model trained on images from modern anime feature films from Studio Ghibli. Use the tokens **_ghibli style_** in your prompts for the effect. **If you enjoy my work and want to test new models before release, please co...

Source โ†’
Audited 23 FNI Score
Tiny - Params
- Context
Hot 2.9K Downloads
Model Information Summary
Entity Passport
Registry ID hf-model--nitrosocke--ghibli-diffusion
Provider huggingface
๐Ÿ“œ

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Academic & Research Attribution

BibTeX 
@misc{hf_model__nitrosocke__ghibli_diffusion,
  author = {nitrosocke},
  title = {Ghibli Diffusion Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/nitrosocke/Ghibli-Diffusion}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
nitrosocke. (2026). Ghibli Diffusion [Model]. Free2AITools. https://huggingface.co/nitrosocke/Ghibli-Diffusion

๐Ÿ”ฌTechnical Deep Dive

Full Specifications [+]

Quick Commands

๐Ÿค— HF Download
huggingface-cli download nitrosocke/ghibli-diffusion

โš–๏ธ Nexus Index V16.5

Methodology Index Protocol
23.0
ESTIMATED IMPACT TIER
Popularity (P) 0
Freshness (F) 0
Completeness (C) 0
Utility (U) 0

๐Ÿ’ฌ Index Insight

The Free2AITools Nexus Index for Ghibli Diffusion aggregates Popularity (P:0), Freshness (F:0), and Completeness (C:0). The Utility score (U:0) represents deployment readiness and ecosystem adoption.

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Technical Deep Dive

language:

Ghibli Diffusion

This is the fine-tuned Stable Diffusion model trained on images from modern anime feature films from Studio Ghibli.
Use the tokens ghibli style in your prompts for the effect.

If you enjoy my work and want to test new models before release, please consider supporting me
Become A Patreon

Characters rendered with the model:
Characters Samples
Cars and Animals rendered with the model:
Misc. Samples
Landscapes rendered with the model:
Landscape 1
ghibli style beautiful Caribbean beach tropical (sunset) - Negative prompt: soft blurry
Landscape 2
ghibli style ice field white mountains ((northern lights)) starry sky low horizon - Negative prompt: soft blurry

Prompt and settings for the Strom Trooper:

ghibli style (storm trooper) Negative prompt: (bad anatomy)
Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 3450349066, Size: 512x704

Prompt and settings for the VW Beetle:

ghibli style VW beetle Negative prompt: soft blurry
Steps: 30, Sampler: Euler a, CFG scale: 7, Seed: 1529856912, Size: 704x512

This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the train-text-encoder flag in 15.000 steps.

๐Ÿ“ Limitations & Considerations

  • โ€ข Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • โ€ข VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • โ€ข FNI scores are relative rankings and may change as new models are added.
  • โ€ข Source: Unknown
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Social Proof

HuggingFace Hub
782Likes
2.9KDownloads
Hub Discussions
๐Ÿค— Data Source: Hugging Face โ†—
๐Ÿ”„ Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

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100% Data Disclosure Active

๐Ÿ†” Identity & Source

id
hf-model--nitrosocke--ghibli-diffusion
source
huggingface
author
nitrosocke
tags
diffuserssafetensorsstable-diffusiontext-to-imageimage-to-imageenlicense:creativeml-openrail-mendpoints_compatiblediffusers:stablediffusionpipelineregion:us

โš™๏ธ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
text-to-image

๐Ÿ“Š Engagement & Metrics

likes
782
downloads
2,926

Free2AITools Constitutional Data Pipeline: Curated disclosure mode active. (V15.x Standard)