Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- README.md +75 -0
- adapter_config.json +41 -0
- result/output1.mp4 +3 -0
- result/output2.mp4 +3 -0
- result/output3.mp4 +3 -0
- wan2.2_fly_i2v_high.safetensors +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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result/output1.mp4 filter=lfs diff=lfs merge=lfs -text
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result/output2.mp4 filter=lfs diff=lfs merge=lfs -text
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result/output3.mp4 filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: apache-2.0
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language:
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- en
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base_model:
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- Wan-AI/Wan2.2-I2V-A14B
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pipeline_tag: image-to-video
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tags:
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- text: >-
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这个女人以超人的姿态水平悬空,身体紧贴着地面高速飞行,feixing
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output:
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url: result/output1.mp4
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- text: >-
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这个女人以超人的姿态水平悬空,身体紧贴着地面高速飞行,feixing
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output:
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url: result/output2.mp4
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- text: >-
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这个男人以超人的姿态水平悬空,身体紧贴着地面高速飞行,feixing
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output:
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url: result/output3.mp4
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---
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<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
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<h1 style="color: #24292e; margin-top: 0;">valiantcat LoRA for Wan2.2-I2V-A14B</h1>
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<div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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<h2 style="color: #24292e; margin-top: 0;">Overview</h2>
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<p>This LoRA is trained on the Wan2.2-I2V-A14B model.</p>
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</div>
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<div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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<h2 style="color: #24292e; margin-top: 0;">Features</h2>
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<ul style="margin-bottom: 0;">
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<li>Generate any life videos of eva through prompt</li>
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<li>Trained on the Wan2.2-I2V-A14B base model</li>
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<li>Consistent results across different object types</li>
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<li>Simple prompt structure that's easy to adapt</li>
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</ul>
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</div>
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<Gallery />
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# Model File and Inference Workflow
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## 📥 Download Links:
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- [wan2.2_fly_i2v_high](./wan2.2_fly_i2v_high.safetensors) - LoRA Model File
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---
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<div style="background-color: #f8f9fa; padding: 20px; border-radius: 10px; margin-bottom: 20px;">
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<div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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<h2 style="color: #24292e; margin-top: 0;">Recommended Settings</h2>
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<ul style="margin-bottom: 0;">
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<li><b>LoRA Strength:</b> 1.0</li>
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<li><b>Embedded Guidance Scale:</b> 1.0</li>
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<li><b>Flow Shift:</b> 8.0</li>
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</ul>
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</div>
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<div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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<h2 style="color: #24292e; margin-top: 0;">Trigger Words</h2>
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<p>The key trigger phrase is: <code style="background-color: #f0f0f0; padding: 3px 6px; border-radius: 4px;">feixing</code></p>
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</div>
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<div style="background-color: white; padding: 15px; border-radius: 8px; margin: 15px 0; box-shadow: 0 2px 4px rgba(0,0,0,0.1);">
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<h2 style="color: #24292e; margin-top: 0;">Prompt Template</h2>
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<p>For best results, use this prompt structure:</p>
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<div style="background-color: #f0f0f0; padding: 12px; border-radius: 6px; margin: 10px 0;">
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<i>这个男人以超人的姿态水平悬空,身体紧贴着地面高速飞行,feixing</i>
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</div>
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</div>
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": false,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"qalora_group_size": 16,
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"ffn.2",
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"v",
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"ffn.0",
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"o",
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"q",
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"k"
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],
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"target_parameters": null,
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"task_type": null,
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"trainable_token_indices": null,
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"use_dora": false,
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"use_qalora": false,
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"use_rslora": false
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}
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result/output1.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:bbdaa8c1ab8fe720c35ae423b8012a1ea1351aa3a876feb28dffb96310fb276c
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size 2157980
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result/output2.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5d271560e1b2c0c7ed91816c350cc482e73b1cc63128cb991c17e099a7fbf1e
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size 1299445
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result/output3.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc9158c45e7ae642b195544488690a781622c5ac7f1c7507ed6d77f348836d3c
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size 2221463
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wan2.2_fly_i2v_high.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:0395c86455b4604bfc1171bd01267af891005eac2d360a89131b4018f240d6fd
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size 306807976
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