zedge/emoji-generator 🖼️🔢📝❓✓ → 🖼️

Using seed: 17984
Ensuring enough disk space...
Free disk space: 2002499629056
Downloading weights: https://replicate.delivery/pbxt/k2Iad4ROXKZaNdbgl9BRmRiskfg5562bfMjU6kqRDycffQ6MB/trained_model.tar
2024-08-10T08:11:50Z | INFO  | [ Initiating ] chunk_size=150M dest=/src/weights-cache/177de15e9255b865 url=https://replicate.delivery/pbxt/k2Iad4ROXKZaNdbgl9BRmRiskfg5562bfMjU6kqRDycffQ6MB/trained_model.tar
2024-08-10T08:11:53Z | INFO  | [ Complete ] dest=/src/weights-cache/177de15e9255b865 size="186 MB" total_elapsed=3.474s url=https://replicate.delivery/pbxt/k2Iad4ROXKZaNdbgl9BRmRiskfg5562bfMjU6kqRDycffQ6MB/trained_model.tar
b''
Downloaded weights in 3.640470027923584 seconds
Loading fine-tuned model
Does not have Unet. assume we are using LoRA
Loading Unet LoRA
Prompt: emoji of a dinosaur wearing a cowboy hat
txt2img mode
  0%|          | 0/50 [00:00<?, ?it/s]/usr/local/lib/python3.9/site-packages/diffusers/models/attention_processor.py:1946: FutureWarning: `LoRAAttnProcessor2_0` is deprecated and will be removed in version 0.26.0. Make sure use AttnProcessor2_0 instead by settingLoRA layers to `self.{to_q,to_k,to_v,to_out[0]}.lora_layer` respectively. This will be done automatically when using `LoraLoaderMixin.load_lora_weights`
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