đ Van Gogh Diffusion
This is a fine - tuned Stable Diffusion model that brings the unique style of the film "Loving Vincent" to text - to - image generation.
đ Quick Start
This is a fine - tuned Stable Diffusion model (based on v1.5) trained on screenshots from the film Loving Vincent. To use the style, place the token lvngvncnt at the BEGINNING of your prompts (e.g., "lvngvncnt, beautiful woman at sunset"). This model performs best with the Euler sampler (NOT Euler_a).
â ī¸ Important Note
Download the ckpt file from the "files and versions" tab into the stable diffusion models folder of your chosen web - ui.
đĄ Usage Tip
If you get too many yellow faces or don't like the strong blue bias, simply add them to the negative prompt (e.g., "Yellow face, blue").
⨠Features
- Unique Style: Captures the style of the film Loving Vincent.
- Token - Based Styling: Use the lvngvncnt token to apply the style.
- Sampler Compatibility: Works best with the Euler sampler.
đģ Usage Examples
Basic Usage
from diffusers import StableDiffusionPipeline
import torch
model_id = "dallinmackay/Van-Gogh-diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "lvngvncnt, beautiful woman at sunset"
image = pipe(prompt).images[0]
image.save("./sunset.png")
Advanced Usage
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.
đ Documentation
Character Samples
Prompt and settings used: lvngvncnt, [person], highly detailed | Steps: 25, Sampler: Euler, CFG scale: 6
Landscape Samples
Prompt and settings used: lvngvncnt, [subject/setting], highly detailed | Steps: 25, Sampler: Euler, CFG scale: 6
Training Method
This model was trained with Dreambooth, using TheLastBen colab notebook.
đ§ Technical Details
The model is a fine - tuned Stable Diffusion model based on v1.5. It is trained on screenshots from the film Loving Vincent.
đ License
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:
- You can't use the model to deliberately produce nor share illegal or harmful outputs or content
- The authors claim no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
- You may re - distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL - M to all your users (please read the license entirely and carefully)
Please read the full license here
