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--- |
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license: creativeml-openrail-m |
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base_model: gsdf/Counterfeit-V2.5 |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- text-to-image |
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- diffusers |
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- lora |
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- civitai |
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- a1111 |
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--- |
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This repository contains a LoRA model downloaded from [CivitAI](https://civitai.com/models/13239/light-and-shadow). |
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You can load this checkpoint in 🧨 diffusers and perform like so: |
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```python |
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import torch |
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler |
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pipeline = StableDiffusionPipeline.from_pretrained( |
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"gsdf/Counterfeit-V2.5", torch_dtype=torch.float16, safety_checker=None |
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).to("cuda") |
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pipeline.scheduler = DPMSolverMultistepScheduler.from_config( |
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pipeline.scheduler.config, use_karras_sigmas=True |
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) |
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pipeline.load_lora_weights( |
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"sayakpaul/civitai-light-shadow-lora", weight_name="light_and_shadow.safetensors" |
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) |
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prompt = "masterpiece, best quality, 1girl, at dusk" |
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negative_prompt = ("(low quality, worst quality:1.4), (bad anatomy), (inaccurate limb:1.2), " |
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"bad composition, inaccurate eyes, extra digit, fewer digits, (extra arms:1.2), large breasts") |
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image = pipeline(prompt=prompt, |
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negative_prompt=negative_prompt, |
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width=512, |
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height=768, |
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num_inference_steps=15, |
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generator=torch.manual_seed(0) |
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).images[0] |
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image.save("image.png") |
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``` |
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Below is a comparison between the LoRA and the non-LoRA results: |
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<div align="center"> |
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<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/lora_non_lora_comparison.png" width=850/> |
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</div> |
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If you're interested to know how the CivitAI interoperability support was enabled in Diffusers, please follow [this PR](https://github.com/huggingface/diffusers/pull/3437). |
