YAML Metadata
Warning:
empty or missing yaml metadata in repo card
(https://huggingface.co/docs/hub/model-cards#model-card-metadata)
---
license: creativeml-openrail-m
base_model: CompVis/stable-diffusion-v1-4
datasets:
- None
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
inference: true
---
# Text-to-image finetuning - soyng/photorealistic-wheel-v1-0
This pipeline was finetuned from **CompVis/stable-diffusion-v1-4** on the **None** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: High-performance car wheel rim, detailed 3D rendering:
![val_imgs_grid](./val_imgs_grid.png)
## Pipeline usage
You can use the pipeline like so:
```python
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("soyng/photorealistic-wheel-v1-0", torch_dtype=torch.float16)
prompt = "H"
image = pipeline(prompt).images[0]
image.save("my_image.png")
```
## Training info
These are the key hyperparameters used during training:
* Epochs: 60
* Learning rate: 1e-05
* Batch size: 32
* Gradient accumulation steps: 1
* Image resolution: 512
* Mixed-precision: None
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/soyoung9306-slack/CompVis_stable-diffusion-v1-4-fine-tune/runs/27944xzb).
- Downloads last month
- 0
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.