Model reference · open weights
mo-di-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 |
| Runs with | diffusers |
| Released | 2022-10-27 |
| Popularity | 1k downloads / month |
| Licence | Open weights |
About
Mo Di Diffusion
This is the fine-tuned Stable Diffusion 1.5 model trained on screenshots from a popular animation studio. Use the tokens modern disney style in your prompts for the effect.
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Videogame Characters rendered with the model: Animal Characters rendered with the model: Cars and Landscapes rendered with the model:
modern disney lara croft Steps: 50, Sampler: Euler a, CFG scale: 7, Seed: 3940025417, Size: 512x768
modern disney (baby lion) Negative prompt: person human Steps: 50, Sampler: Euler a, CFG scale: 7, Seed: 1355059992, Size: 512x512
This model was trained using the diffusers based dreambooth training by ShivamShrirao using prior-preservation loss and the train-text-encoder flag in 9.000 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/mo-di-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "a magical princess with golden hair, modern disney style"
image = pipe(prompt).images[0]
image.save("./magical_princess.png")
We also support a Gradio Web UI and Colab with Diffusers to run fine-tuned Stable Diffusion models:
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 mo-di-diffusion for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (mo-di-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":"mo-di-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.