--- tags: - text-to-image - stable-diffusion - lora - diffusers - template:sd-lora widget: - text: 'Smile emoji, 4k' output: url: images/12.png - text: 'Love emoji, 4k' output: url: images/13.png - text: 'Cry emoji, 4k' output: url: images/14.png base_model: stabilityai/stable-diffusion-xl-base-1.0 instance_prompt: emoji license: creativeml-openrail-m --- # Berenices-Mini-Emoji Berenices-Mini-Emoji-LoRA Image Processing Parameters | Parameter | Value | Parameter | Value | |---------------------------|--------|---------------------------|--------| | LR Scheduler | constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | Repeat | 27 | | Epoch | 15 | Save Every N Epochs | 1 | for better results use it with the base model /others ## SETTING-UP ```py pipe = StableDiffusionXLPipeline.from_pretrained( "-------------xxxxxxxxx----------", torch_dtype=torch.float16, use_safetensors=True, ) (or) ----------------------------------------------------------- pipe = StableDiffusionXLPipeline.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, ) pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config) pipe.load_lora_weights("prithivMLmods/Berenices-Mini-Emoji-LoRA", weight_name=emojies.safetensors", adapter_name="emoji") pipe.set_adapters("emoji") pipe.to("cuda") ``` ## Trigger prompts Smile emoji, 4k Cry emoji, 4k Love emoji, 4k | Parameter | Value | |-----------------|---------------------------------------------------------------------------------------| | Prompt | Smile emoji, 4k| | Sampler | euler ## Trigger words You should use `emoji` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/prithivMLmods/Berenices-Mini-Emoji-LoRA/tree/main) them in the Files & versions tab.