Model reference · open weights
Ghibli-Diffusion is an open-weight image model from nitrosocke. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | nitrosocke |
|---|---|
| Type | Image models |
| Task | Text→image |
| Parameters (lead) | 860M |
| Runs with | diffusers |
| Released | 2022-11-18 |
| Popularity | 1k downloads / month |
| Licence | Open weights |
About
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
Characters rendered with the model: Cars and Animals rendered with the model: Landscapes rendered with the model: ghibli style beautiful Caribbean beach tropical (sunset) - Negative prompt: soft blurry ghibli style ice field white mountains ((northern lights)) starry sky low horizon - Negative prompt: soft blurry
ghibli style (storm trooper) Negative prompt: (bad anatomy) Steps: 20, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 3450349066, Size: 512x704
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.
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.
You can also export the model to ONNX, MPS and/or FLAX/JAX.
from diffusers import StableDiffusionPipeline
import torch
model_id = "nitrosocke/Ghibli-Diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "ghibli style magical princess with golden hair"
image = pipe(prompt).images[0]
image.save("./magical_princess.png")
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys ghibli-diffusion for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (ghibli-diffusion 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":"ghibli-diffusion","prompt":"a red bicycle","size":"1024x1024"}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.