derekl35
/

tarot-qlora-flux

diffusers-training

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derekl35 commited on Jun 18

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42fa44b

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1 Parent(s): 12bb509

Update README.md

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README.md +3 -3

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@@ -56,7 +56,7 @@ ckpt_id = "black-forest-labs/FLUX.1-dev"
 pipeline = FluxPipeline.from_pretrained(
     ckpt_id, torch_dtype=torch.float16
 )
-pipeline.load_lora_weights("derekl35/tarot_qlora_flux", weight_name="pytorch_lora_weights.safetensors")
 pipeline.enable_model_cpu_offload()
 image = pipeline(
@@ -82,7 +82,7 @@ ckpt_id = "black-forest-labs/FLUX.1-dev"
 pipeline = FluxPipeline.from_pretrained(
     ckpt_id, text_encoder=None, text_encoder_2=None, torch_dtype=torch.float16
 )
-pipeline.load_lora_weights("derekl35/tarot_qlora_flux", weight_name="pytorch_lora_weights.safetensors")
 pipeline.fuse_lora()
 pipeline.unload_lora_weights()
@@ -111,7 +111,7 @@ ckpt_id = "black-forest-labs/FLUX.1-dev"
 pipeline = FluxPipeline.from_pretrained(
     ckpt_id, text_encoder=None, text_encoder_2=None, torch_dtype=torch.float16
 )
-pipeline.load_lora_weights("derekl35/tarot_qlora_flux", weight_name="pytorch_lora_weights.safetensors")
 pipeline.fuse_lora()
 pipeline.unload_lora_weights()

 pipeline = FluxPipeline.from_pretrained(
     ckpt_id, torch_dtype=torch.float16
 )
+pipeline.load_lora_weights("derekl35/tarot-qlora-flux", weight_name="pytorch_lora_weights.safetensors")
 pipeline.enable_model_cpu_offload()
 image = pipeline(
 pipeline = FluxPipeline.from_pretrained(
     ckpt_id, text_encoder=None, text_encoder_2=None, torch_dtype=torch.float16
 )
+pipeline.load_lora_weights("derekl35/tarot-qlora-flux", weight_name="pytorch_lora_weights.safetensors")
 pipeline.fuse_lora()
 pipeline.unload_lora_weights()
 pipeline = FluxPipeline.from_pretrained(
     ckpt_id, text_encoder=None, text_encoder_2=None, torch_dtype=torch.float16
 )
+pipeline.load_lora_weights("derekl35/tarot-qlora-flux", weight_name="pytorch_lora_weights.safetensors")
 pipeline.fuse_lora()
 pipeline.unload_lora_weights()