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--- |
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base_model: stabilityai/stable-diffusion-xl-base-1.0 |
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library_name: diffusers |
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license: cc0-1.0 |
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tags: |
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- stable-diffusion-xl |
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- stable-diffusion-xl-diffusers |
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- text-to-image |
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- diffusers |
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- diffusers-training |
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- lora |
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inference: true |
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--- |
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<!-- This model card has been generated automatically according to the information the training script had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# LoRA fine-tuning - jonathandinu/sdxl-metamorphosis |
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on illustrations from [Maria Sibylla Merian’s Metamorphosis Insectorum Surinamensium (1705)](https://huggingface.co/datasets/jonathandinu/merian-metamorphosis). |
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LoRA for the text encoder was enabled: False. |
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix. |
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## Intended uses & limitations |
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### How to use |
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#### text2img |
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```python |
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from diffusers import DiffusionPipeline, AutoencoderKL, utils |
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16) |
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pipeline = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", vae=vae, torch_dtype=torch.float16, variant="fp16") |
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pipeline.to("cuda") |
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pipeline.load_lora_weights("jonathandinu/sdxl-metamorphosis-lora", weight_name="pytorch_lora_weights.safetensors") |
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pipeline( |
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prompt="an astronaut in the jungle", |
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num_inference_steps=30, |
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generator=torch.manual_seed(1) |
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).images[0] |
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``` |
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#### img2img |
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```python |
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from diffusers import AutoPipelineForImage2Image |
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url = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/img2img-sdxl-init.png" |
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16) |
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pipeline = AutoPipelineForImage2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", vae=vae, torch_dtype=torch.float16, variant="fp16") |
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pipeline.to("cuda") |
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pipeline.load_lora_weights("jonathandinu/sdxl-metamorphosis-lora", weight_name="pytorch_lora_weights.safetensors") |
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pipeline( |
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prompt="an astronaut in the jungle", |
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image=init_image, |
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num_inference_steps=30, |
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generator=torch.manual_seed(1), |
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strength=0.7 |
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).images[0] |
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``` |
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#### Limitations and bias |
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[TODO: provide examples of latent issues and potential remediations] |
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## Training details |
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[TODO: describe the data used to train the model] |
