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.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+samples/1777822294363__000001000_0.jpg filter=lfs diff=lfs merge=lfs -text
+samples/1777822395149__000001000_1.jpg filter=lfs diff=lfs merge=lfs -text
+samples/1777822495797__000001000_2.jpg filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+tags:
+- text-to-image
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: "\u5DE2\u6E56\u3001\u6E14\u8239\u3001\u6E14\u6C11\u6492\u7F51"
+    output:
+        url: samples/1777822294363__000001000_0.jpg
+-   text: "\u5DE2\u6E56\u3001\u6E14\u8239\u3001\u6E14\u6C11\u6492\u7F51\u3001\u570B\
+        \u756B\u98A8"
+    output:
+        url: samples/1777822395149__000001000_1.jpg
+-   text: "\u5DE2\u6E56\u3001\u6E14\u8239\u3001\u6E14\u6C11\u6492\u7F51\u3001\u4E24\
+        \u5CB8\u9752\u5C71\u3001\u88D5\u6EAA\u6CB3\u7530\u56ED\u5C71\u666F"
+    output:
+        url: samples/1777822495797__000001000_2.jpg
+base_model: Qwen/Qwen-Image
+instance_prompt: 巢湖
+license: creativeml-openrail-m
+
+
+---
+
+# chao-hu
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `巢湖` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
+
+Weights for this model are available in Safetensors format.
+
+[Download](/PakNin/chao-hu/tree/main) them in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('Qwen/Qwen-Image', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('PakNin/chao-hu', weight_name='chao-hu.safetensors')
+image = pipeline('巢湖、渔船、渔民撒网').images[0]
+image.save("my_image.png")
+```
+
+For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+

chao-hu.safetensors

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+oid sha256:7c75d8d1d9d73c2df4ad2abeb4c692fd5184cfc8afa3efec7945782501a8ef05
+size 295144552

chao-hu_000000250.safetensors

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+oid sha256:4c365b16621d7a437674beb8c8f1ae20f1410ff7b964b5ffd7dbb8b5f98a3950
+size 295144552

chao-hu_000000500.safetensors

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+oid sha256:f19aafb524112dddeb21b952d2bc9ed32717915354e4eee486653e71c18eb9d3
+size 295144552

chao-hu_000000750.safetensors

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+oid sha256:101380c668d4c831a4f75611f33b71d73efe081b5de9968c150c7012d340aca8
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config.yaml

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+job: extension
+config:
+  name: chao-hu
+  process:
+  - type: sd_trainer
+    training_folder: output
+    device: cuda:0
+    network:
+      type: lora
+      linear: 16
+      linear_alpha: 16
+    save:
+      dtype: float16
+      save_every: 250
+      max_step_saves_to_keep: 4
+      push_to_hub: true
+      hf_repo_id: PakNin/chao-hu
+      hf_private: true
+    datasets:
+    - folder_path: datasets/a886e7d4-3b5e-49d5-93dd-acee9dcbf703
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      shuffle_tokens: false
+      cache_latents_to_disk: true
+      resolution:
+      - 512
+      - 768
+      - 1024
+    train:
+      batch_size: 1
+      cache_text_embeddings: true
+      steps: 1000
+      gradient_accumulation: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      lr: 0.0004
+      dtype: bf16
+      skip_first_sample: true
+      disable_sampling: false
+    model:
+      name_or_path: Qwen/Qwen-Image
+      arch: qwen_image
+      quantize: true
+      qtype: uint3|ostris/accuracy_recovery_adapters/qwen_image_torchao_uint3.safetensors
+      quantize_te: true
+      qtype_te: qfloat8
+      low_vram: true
+    sample:
+      sampler: flowmatch
+      sample_every: 1000
+      width: 1024
+      height: 1024
+      prompts:
+      - "\u5DE2\u6E56\u3001\u6E14\u8239\u3001\u6E14\u6C11\u6492\u7F51"
+      - "\u5DE2\u6E56\u3001\u6E14\u8239\u3001\u6E14\u6C11\u6492\u7F51\u3001\u570B\u756B\
+        \u98A8"
+      - "\u5DE2\u6E56\u3001\u6E14\u8239\u3001\u6E14\u6C11\u6492\u7F51\u3001\u4E24\u5CB8\
+        \u9752\u5C71\u3001\u88D5\u6EAA\u6CB3\u7530\u56ED\u5C71\u666F"
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3
+      sample_steps: 28
+    trigger_word: "\u5DE2\u6E56"
+meta:
+  name: chao-hu
+  version: '1.0'

optimizer.pt

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+oid sha256:84026f85915a2f0d2f4ad9d1808d2995b885b18b08e847c2823d1efe12b2acd9
+size 300297276