diffusers tensorboard safetensors autotrain_compatible endpoints_compatible diffusers:StableDiffusionPipeline region:us

    ---
    license: creativeml-openrail-m
    base_model: stabilityai/stable-diffusion-2-1-base
    datasets:
    - lambdalabs/pokemon-blip-captions
    tags:
    - stable-diffusion
    - stable-diffusion-diffusers
    - text-to-image
    - diffusers
    inference: true
    ---
    
    # Text-to-image finetuning - mbiskho/tamlops-image

    ## Pipeline usage

    You can use the pipeline like so:

    ```python
    from diffusers import DiffusionPipeline
    import torch

    pipeline = DiffusionPipeline.from_pretrained("mbiskho/tamlops-image", torch_dtype=torch.float16)
    image = pipeline(prompt).images[0]
    image.save("my_image.png")
    ```

    ## Training info

    These are the key hyperparameters used during training:

    * Epochs: 1
    * Learning rate: 0.001
    * Batch size: 1
    * Gradient accumulation steps: 1
    * Image resolution: 10
    * Mixed-precision: None

    