Jacklu0831
/

procreate-diffusion-frank-gehry

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 ---
 library_name: diffusers
 ---
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 ---
 library_name: diffusers
+license: creativeml-openrail-m
+base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
+pipeline_tag: text-to-image
+tags:
+- stable-diffusion
+- text-to-image
+- procreate
+datasets:
+- Jacklu0831/few-shot-creative-generation-8
 ---
+# ProCreate checkpoint: Frank Gehry
+A Stable Diffusion 1.5 UNet fine-tuned for 2,000 steps on the **Frank Gehry** category of [FSCG-8](https://huggingface.co/datasets/Jacklu0831/few-shot-creative-generation-8) (50 caption-image pairs of Frank Gehry architecture). It is one of eight checkpoints released with **ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation** (ECCV 2024).
+ProCreate is a sampling method that pushes generated images away from the reference images, so a model fine-tuned on a few examples produces novel samples in the same style instead of replicating its training data.
+[Paper](https://arxiv.org/abs/2408.02226) · [Project page](https://agenticlearning.ai/procreate/) · [Code](https://github.com/agentic-learning-ai-lab/procreate-diffusion) · [Dataset](https://huggingface.co/datasets/Jacklu0831/few-shot-creative-generation-8)
+## What this repository contains
+Only the fine-tuned UNet (`UNet2DConditionModel`, diffusers format). Load it into a Stable Diffusion 1.5 pipeline:
+```python
+import torch
+from diffusers import StableDiffusionPipeline, UNet2DConditionModel
+pipe = StableDiffusionPipeline.from_pretrained(
+    "stable-diffusion-v1-5/stable-diffusion-v1-5", torch_dtype=torch.float16
+).to("cuda")
+pipe.unet = UNet2DConditionModel.from_pretrained(
+    "Jacklu0831/procreate-diffusion-frank-gehry", torch_dtype=torch.float16
+).to("cuda")
+image = pipe("a twisting tall apartment building, designed by Frank Gehry").images[0]
+```
+This samples from the fine-tuned model directly. To sample with ProCreate, use `src/inference.py` in the [code repository](https://github.com/agentic-learning-ai-lab/procreate-diffusion), which downloads this checkpoint automatically:
+```bash
+python src/inference.py \
+    --dataset_dir few-shot-creative-generation-8/frank_gehry \
+    --unet_ckpt_dir Jacklu0831/procreate-diffusion-frank-gehry \
+    --prompt "a twisting tall apartment building, designed by Frank Gehry"
+```
+## License
+The weights are a derivative of Stable Diffusion 1.5 and are released under the [CreativeML Open RAIL-M license](https://huggingface.co/spaces/CompVis/stable-diffusion-license).
+## Citation
+```bibtex
+@InProceedings{procreate,
+    author="Lu, Jack and Teehan, Ryan and Ren, Mengye",
+    title="ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation",
+    booktitle="Computer Vision -- ECCV 2024",
+    year="2024",
+    publisher="Springer Nature Switzerland",
+}
+```