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rijks-sdxl-lora-002

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stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
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1 Parent(s): 57a6ffd

End of training

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  1. README.md +1 -1
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/rijks-sdxl-lora-002_emb.safetensors +3 -0
  6. checkpoint-1000/scheduler.bin +3 -0
  7. checkpoint-1200/optimizer.bin +3 -0
  8. checkpoint-1200/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-1200/random_states_0.pkl +3 -0
  10. checkpoint-1200/rijks-sdxl-lora-002_emb.safetensors +3 -0
  11. checkpoint-1200/scheduler.bin +3 -0
  12. checkpoint-1400/optimizer.bin +3 -0
  13. checkpoint-1400/pytorch_lora_weights.safetensors +3 -0
  14. checkpoint-1400/random_states_0.pkl +3 -0
  15. checkpoint-1400/rijks-sdxl-lora-002_emb.safetensors +3 -0
  16. checkpoint-1400/scheduler.bin +3 -0
  17. checkpoint-1600/optimizer.bin +3 -0
  18. checkpoint-1600/pytorch_lora_weights.safetensors +3 -0
  19. checkpoint-1600/random_states_0.pkl +3 -0
  20. checkpoint-1600/rijks-sdxl-lora-002_emb.safetensors +3 -0
  21. checkpoint-1600/scheduler.bin +3 -0
  22. checkpoint-1800/optimizer.bin +3 -0
  23. checkpoint-1800/pytorch_lora_weights.safetensors +3 -0
  24. checkpoint-1800/random_states_0.pkl +3 -0
  25. checkpoint-1800/rijks-sdxl-lora-002_emb.safetensors +3 -0
  26. checkpoint-1800/scheduler.bin +3 -0
  27. checkpoint-200/optimizer.bin +3 -0
  28. checkpoint-200/pytorch_lora_weights.safetensors +3 -0
  29. checkpoint-200/random_states_0.pkl +3 -0
  30. checkpoint-200/rijks-sdxl-lora-002_emb.safetensors +3 -0
  31. checkpoint-200/scheduler.bin +3 -0
  32. checkpoint-400/optimizer.bin +3 -0
  33. checkpoint-400/pytorch_lora_weights.safetensors +3 -0
  34. checkpoint-400/random_states_0.pkl +3 -0
  35. checkpoint-400/rijks-sdxl-lora-002_emb.safetensors +3 -0
  36. checkpoint-400/scheduler.bin +3 -0
  37. checkpoint-600/optimizer.bin +3 -0
  38. checkpoint-600/pytorch_lora_weights.safetensors +3 -0
  39. checkpoint-600/random_states_0.pkl +3 -0
  40. checkpoint-600/rijks-sdxl-lora-002_emb.safetensors +3 -0
  41. checkpoint-600/scheduler.bin +3 -0
  42. checkpoint-800/optimizer.bin +3 -0
  43. checkpoint-800/pytorch_lora_weights.safetensors +3 -0
  44. checkpoint-800/random_states_0.pkl +3 -0
  45. checkpoint-800/rijks-sdxl-lora-002_emb.safetensors +3 -0
  46. checkpoint-800/scheduler.bin +3 -0
  47. image_0.png +2 -2
  48. image_1.png +2 -2
  49. image_2.png +2 -2
  50. image_3.png +2 -2
README.md CHANGED
@@ -64,7 +64,7 @@ from safetensors.torch import load_file
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  pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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  pipeline.load_lora_weights('m7n/rijks-sdxl-lora-002', weight_name='pytorch_lora_weights.safetensors')
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- embedding_path = hf_hub_download(repo_id='m7n/rijks-sdxl-lora-002', filename='rijks-sdxl-lora-002_emb.safetensors' repo_type="model")
68
  state_dict = load_file(embedding_path)
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  pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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  pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
 
64
 
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  pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
66
  pipeline.load_lora_weights('m7n/rijks-sdxl-lora-002', weight_name='pytorch_lora_weights.safetensors')
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+ embedding_path = hf_hub_download(repo_id='m7n/rijks-sdxl-lora-002', filename='rijks-sdxl-lora-002_emb.safetensors', repo_type="model")
68
  state_dict = load_file(embedding_path)
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  pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
70
  pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
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