diffusers tensorboard safetensors diffusers:JDiffusionPipeline region:us

    ---
    license: creativeml-openrail-m
    base_model: runwayml/stable-diffusion-v1-5
    datasets:
    - None
    tags:
    - stable-diffusion
    - stable-diffusion-diffusers
    - text-to-image
    - diffusers
    inference: true
    ---
        
    # Text-to-image finetuning - mibastro/JDiffusion

    This pipeline was finetuned from **runwayml/stable-diffusion-v1-5** on the **None** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['']: 

    ![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("mibastro/JDiffusion", torch_dtype=torch.float16)
    prompt = ""
    image = pipeline(prompt).images[0]
    image.save("my_image.png")
    ```

    ## Training info

    These are the key hyperparameters used during training:

    * Epochs: 0
    * Learning rate: 3e-05
    * Batch size: 32
    * Gradient accumulation steps: 16
    * Image resolution: 0
    * Mixed-precision: fp16

    