Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-stable-diffusion-torch", dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("optimum-intel-internal-testing/tiny-stable-diffusion-with-textual-inversion")Textual inversion text2image fine-tuning - katuni4ka/textual_inversion_cat
These are textual inversion adaption weights for hf-internal-testing/tiny-stable-diffusion-torch. You can find some example images in the following.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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