Upload LoRA model

README.md

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+---
+license: openrail++
+base_model: runwayml/stable-diffusion-v1-5
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+- cartoon
+- illustration
+datasets:
+- juliaturc/captioned-cartoons
+---
+
+# cartoon-lora-aggressive-high
+
+Fine-tuned LoRA model for generating colorful cartoon-style illustrations.
+
+## Model Details
+
+- **Base Model:** runwayml/stable-diffusion-v1-5
+- **Dataset:** juliaturc/captioned-cartoons
+- **Training Framework:** Diffusers + LoRA
+- **Task:** Text-to-Image Generation (Cartoon Style)
+
+## Training Configuration
+
+```json
+{
+  "learning_rate": 0.00015,
+  "max_train_steps": 1500,
+  "rank": 48,
+  "lr_scheduler": "linear"
+}
+```
+
+## Usage
+
+### Install dependencies
+
+```bash
+pip install diffusers transformers torch
+```
+
+### Load and generate
+
+```python
+import torch
+from diffusers import StableDiffusionPipeline
+
+# Load base model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(
+    model_id,
+    torch_dtype=torch.float16
+)
+pipe = pipe.to("cuda")
+
+# Load LoRA weights
+pipe.load_lora_weights("yzhdvbQ/cartoon-lora-aggressive-high")
+
+# Generate image
+prompt = "Two people walking in a park with dogs, colorful cartoon style, woman in pink shirt, man in green vest, fall scenery"
+image = pipe(prompt, num_inference_steps=30).images[0]
+image.save("output.png")
+```
+
+## Example Prompts
+
+1. `Two people walking in a park with dogs, colorful cartoon style, woman in pink shirt, man in green vest, fall scenery`
+2. `A young woman sitting on a bench reading a book in a city park, wearing a yellow sweater and jeans, autumn trees, colorful cartoon illustration`
+3. `A happy family having a picnic in a meadow, parents and two children, red checkered blanket, colorful cartoon style`
+
+
+## Training Details
+
+This model was fine-tuned on a cartoon illustration dataset with detailed captions describing:
+- Characters and their appearance
+- Clothing and accessories
+- Actions and poses
+- Environment and scenery
+- Composition and style
+
+The training used Low-Rank Adaptation (LoRA) to efficiently fine-tune Stable Diffusion while keeping the base model frozen.
+
+## Limitations
+
+- Works best with detailed, descriptive prompts
+- Optimized for cartoon/illustration style
+- May not perform well on photorealistic requests
+- Based on Stable Diffusion 1.5 architecture
+
+## Citation
+
+```bibtex
+@misc{cartoon-lora-ai54,
+  author = {AI54 Course},
+  title = {Cartoon LoRA for Stable Diffusion},
+  year = {2026},
+  publisher = {HuggingFace},
+  url = {https://huggingface.co/yzhdvbQ/cartoon-lora-aggressive-high}
+}
+```
+
+## License
+
+This model inherits the license from Stable Diffusion (OpenRAIL++)

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