hazwan/vg-session

Van Gogh Diffusion

This is a fine-tuned Stable Diffusion model (based on v1.5) trained on 60 paintings of Van Gogh.

It is a mix of portraits and landscape.

Use the token vangh in your prompts to use the style (e.g., "vangh, beautiful woman at sunset").

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Character rendered with this model: _prompt and settings used: vangh, man

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Landscapes/miscellaneous rendered with this model: _prompt and settings used: vangh, landscape of lake, houses and mountains

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This model was trained with Dreambooth, using TheLastBen colab notebook

🧨 Diffusers

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 = "hazwan/vg-session"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")

prompt = "vangh, beautiful woman at sunset"
image = pipe(prompt).images[0]

image.save("./woman.png")