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README.md

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----
-license: apache-2.0
-language:
-- en
-base_model:
-- CompVis/stable-diffusion-v1-4
-pipeline_tag: text-to-image
-library_name: diffusers
----
+# Model Card for xcheng20/stable-diffusion-painting-style-v1
+
+This model is a fine-tuned version of `CompVis/stable-diffusion-v1-4`, trained on a small but rich dataset of 198 unique paintings by a single painter. It is optimized for generating text-to-image outputs with a distinctive hand-painted aesthetic.
+
+This model card aims to document model details, usage recommendations, risks, and fine-tuning specifics in a transparent and reproducible manner.
+
+## Model Details
+
+### Model Description
+
+This model adapts Stable Diffusion v1.4 to replicate a specific human-created painting style. The training dataset includes 198 paintings in various themes and formats, designed to give the model a sense of color, brushwork, and composition typical to traditional art. It is suitable for generating stylized images with expressive, painterly textures.
+
+- **Developed by:** xcheng20
+- **Funded by:** Self-funded
+- **Shared by:** xcheng20
+- **Model type:** Text-to-image generation
+- **Language(s):** en
+- **License:** Apache License 2.0
+- **Finetuned from model:** [CompVis/stable-diffusion-v1-4](https://huggingface.co/CompVis/stable-diffusion-v1-4)
+
+### Model Sources
+
+- **Repository:** https://huggingface.co/xcheng20/stable-diffusion-painting-style-v1
+
+## Uses
+
+### Direct Use
+
+This model is intended for artistic text-to-image generation. Prompt examples include:
+
+- "a peaceful cabin in the woods, painterly style"
+- "a surreal dreamscape in soft brushstrokes"
+
+It is especially useful for artists, illustrators, and designers seeking an aesthetic similar to traditional hand-painted works.
+
+### Downstream Use
+
+- Artistic draft generation
+- Custom stylized prompt-to-image tools
+- Inspiration for illustration and concept art workflows
+
+### Out-of-Scope Use
+
+- Not suited for realistic portrait generation
+- Should not be used for any NSFW, violent, or biased content
+- Not recommended for medical, legal, or factual content generation
+
+## Bias, Risks, and Limitations
+
+This model may not generalize well outside the stylistic patterns present in the dataset. It could reflect unintentional biases of the source style or create unrealistic outputs under complex prompts.
+
+### Recommendations
+
+- Avoid prompts involving sensitive content
+- Use with human review in artistic workflows
+- Not intended for factual accuracy or realism
+
+## How to Get Started with the Model
+
+```python
+from diffusers import StableDiffusionPipeline
+import torch
+
+pipe = StableDiffusionPipeline.from_pretrained("xcheng20/stable-diffusion-painting-style-v1", torch_dtype=torch.float16).to("cuda")
+image = pipe("a quiet lake in a misty morning, painting style").images[0]
+image.show()