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--- |
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base_model: stabilityai/stable-diffusion-3-medium-diffusers |
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library_name: diffusers |
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license: openrail++ |
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tags: |
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- text-to-image |
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- diffusers-training |
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- diffusers |
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- lora |
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- template:sd-lora |
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- stable-diffusion-3 |
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- stable-diffusion-3-diffusers |
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instance_prompt: <leaf microstructure> |
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widget: [] |
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--- |
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# Stable Diffusion 3 Medium Fine-tuned with Leaf Images |
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<Gallery /> |
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## Model description |
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These are LoRA adaption weights for stabilityai/stable-diffusion-3-medium-diffusers. |
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## Trigger words |
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The following image were used during fine-tuning using the keyword <leaf microstructure>: |
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%3C!-- HTML_TAG_END --> |
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You should use <leaf microstructure> to trigger the image generation. |
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#### How to use |
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Defining some helper functions: |
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```python |
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from diffusers import DiffusionPipeline |
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import torch |
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import os |
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from datetime import datetime |
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from PIL import Image |
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def generate_filename(base_name, extension=".png"): |
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") |
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return f"{base_name}_{timestamp}{extension}" |
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def save_image(image, directory, base_name="image_grid"): |
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filename = generate_filename(base_name) |
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file_path = os.path.join(directory, filename) |
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image.save(file_path) |
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print(f"Image saved as {file_path}") |
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def image_grid(imgs, rows, cols, save=True, save_dir='generated_images', base_name="image_grid", |
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save_individual_files=False): |
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if not os.path.exists(save_dir): |
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os.makedirs(save_dir) |
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assert len(imgs) == rows * cols |
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w, h = imgs[0].size |
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grid = Image.new('RGB', size=(cols * w, rows * h)) |
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grid_w, grid_h = grid.size |
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for i, img in enumerate(imgs): |
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grid.paste(img, box=(i % cols * w, i // cols * h)) |
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if save_individual_files: |
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save_image(img, save_dir, base_name=base_name+f'_{i}-of-{len(imgs)}_') |
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if save and save_dir: |
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save_image(grid, save_dir, base_name) |
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return grid |
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``` |
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Model loading and generation pipeline: |
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```python |
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repo_id_load='lamm-mit/stable-diffusion-3-medium-leaf-inspired' |
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pipeline = DiffusionPipeline.from_pretrained ("stabilityai/stable-diffusion-3-medium-diffusers", |
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torch_dtype=torch.float16 |
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) |
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pipeline.load_lora_weights(repo_id_load) |
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pipeline=pipeline.to('cuda') |
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prompt = "a cube in the shape of a <leaf microstructure>" |
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negative_prompt = "" |
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num_samples = 3 |
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num_rows = 3 |
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n_steps=75 |
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guidance_scale=15 |
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all_images = [] |
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for _ in range(num_rows): |
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image = pipeline(prompt,num_inference_steps=n_steps,num_images_per_prompt=num_samples, |
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guidance_scale=guidance_scale,negative_prompt=negative_prompt).images |
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all_images.extend(image) |
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grid = image_grid(all_images, num_rows, num_samples, |
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save_individual_files=True, |
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save_dir='generated_images', |
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base_name="image_grid", |
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) |
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grid |
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``` |
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%3C!-- HTML_TAG_END --> |
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