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Te27485967928161/Nitro-Diffusion
Nitro-Diffusion is a text-to-image model from Te27485967928161. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
Welcome to Nitro Diffusion - the first Multi-Style Model trained from scratch! This is a fine-tuned Stable Diffusion model trained on three artstyles simultaniously while keeping each style separate from the others. T…
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From the Hugging Face model README
Welcome to Nitro Diffusion - the first Multi-Style Model trained from scratch! This is a fine-tuned Stable Diffusion model trained on three artstyles simultaniously while keeping each style separate from the others. This allows for high control of mixing, weighting and single style use. Use the tokens archer style, arcane style or modern disney style in your prompts for the effect. You can also use more than one for a mixed style like in the examples down below:
If you enjoy my work and want to test new models before release, please consider supporting me
Multi Style Characters from the model:
Single Style Characters from the model:
Multi Style Scenes from the model:

You can find animated GIFs of Batman and Lara Croft showing the weighting and prompt influence on the bottom of the page.
arcane archer modern disney gal gadot Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 598801516, Size: 512x768
(audi TT car) arcane modern disney style archer Steps: 30, Sampler: Euler a, CFG scale: 7, Seed: 713702776, Size: 768x512
We support a Gradio Web UI to run Nitro-Diffusion:
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/nitro-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "archer arcane 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:

