Instructions to use optimum-intel-internal-testing/tiny-random-qwen-image-2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use optimum-intel-internal-testing/tiny-random-qwen-image-2.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("optimum-intel-internal-testing/tiny-random-qwen-image-2.1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add tiny random Qwen-Image-2.1 (t2i + i2i, non-collapsing outputs)
#1
by rkazants - opened
- .gitattributes +1 -0
- model_index.json +24 -0
- processor/chat_template.jinja +120 -0
- processor/processor_config.json +64 -0
- processor/tokenizer.json +3 -0
- processor/tokenizer_config.json +16 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +63 -0
- text_encoder/generation_config.json +9 -0
- text_encoder/model.safetensors +3 -0
- transformer/config.json +19 -0
- transformer/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +161 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* 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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*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
processor/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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model_index.json
ADDED
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@@ -0,0 +1,24 @@
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{
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"_class_name": "QwenImage21Pipeline",
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"_diffusers_version": "0.41.0.dev0",
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"processor": [
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"transformers",
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"Qwen3VLProcessor"
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],
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"Qwen3VLForConditionalGeneration"
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],
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"transformer": [
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"diffusers",
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"QwenImage21Transformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLQwenImage21"
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]
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}
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processor/chat_template.jinja
ADDED
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@@ -0,0 +1,120 @@
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+
{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '\n\n' }}
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{%- endif %}
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{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].content is string %}
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{{- messages[0].content }}
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{%- else %}
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{%- for content in messages[0].content %}
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{%- if 'text' in content %}
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{{- content.text }}
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{%- endif %}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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+
{%- endif %}
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+
{%- endif %}
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{%- set image_count = namespace(value=0) %}
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{%- set video_count = namespace(value=0) %}
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{%- for message in messages %}
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{%- if message.role == "user" %}
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{{- '<|im_start|>' + message.role + '\n' }}
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{%- if message.content is string %}
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{{- message.content }}
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{%- else %}
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{%- for content in message.content %}
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{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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<|vision_start|><|image_pad|><|vision_end|>
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| 49 |
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{%- elif content.type == 'video' or 'video' in content %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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| 52 |
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<|vision_start|><|video_pad|><|vision_end|>
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{%- elif 'text' in content %}
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| 54 |
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{{- content.text }}
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| 55 |
+
{%- endif %}
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| 56 |
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{%- endfor %}
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| 57 |
+
{%- endif %}
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{{- '<|im_end|>\n' }}
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| 59 |
+
{%- elif message.role == "assistant" %}
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| 60 |
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{{- '<|im_start|>' + message.role + '\n' }}
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| 61 |
+
{%- if message.content is string %}
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| 62 |
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{{- message.content }}
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| 63 |
+
{%- else %}
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| 64 |
+
{%- for content_item in message.content %}
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| 65 |
+
{%- if 'text' in content_item %}
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| 66 |
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{{- content_item.text }}
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| 67 |
+
{%- endif %}
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| 68 |
+
{%- endfor %}
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| 69 |
+
{%- endif %}
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| 70 |
+
{%- if message.tool_calls %}
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| 71 |
+
{%- for tool_call in message.tool_calls %}
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| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
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| 73 |
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{{- '\n' }}
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| 74 |
+
{%- endif %}
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| 75 |
+
{%- if tool_call.function %}
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| 76 |
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{%- set tool_call = tool_call.function %}
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| 77 |
+
{%- endif %}
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| 78 |
+
{{- '<tool_call>\n{"name": "' }}
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| 79 |
+
{{- tool_call.name }}
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| 80 |
+
{{- '", "arguments": ' }}
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| 81 |
+
{%- if tool_call.arguments is string %}
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| 82 |
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{{- tool_call.arguments }}
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| 83 |
+
{%- else %}
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| 84 |
+
{{- tool_call.arguments | tojson }}
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| 85 |
+
{%- endif %}
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| 86 |
+
{{- '}\n</tool_call>' }}
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| 87 |
+
{%- endfor %}
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| 88 |
+
{%- endif %}
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| 89 |
+
{{- '<|im_end|>\n' }}
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| 90 |
+
{%- elif message.role == "tool" %}
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| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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| 92 |
+
{{- '<|im_start|>user' }}
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| 93 |
+
{%- endif %}
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| 94 |
+
{{- '\n<tool_response>\n' }}
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| 95 |
+
{%- if message.content is string %}
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| 96 |
+
{{- message.content }}
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| 97 |
+
{%- else %}
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| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
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| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
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| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
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| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
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| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
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| 109 |
+
{%- endif %}
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| 110 |
+
{%- endfor %}
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| 111 |
+
{%- endif %}
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| 112 |
+
{{- '\n</tool_response>' }}
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| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 114 |
+
{{- '<|im_end|>\n' }}
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| 115 |
+
{%- endif %}
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| 116 |
+
{%- endif %}
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| 117 |
+
{%- endfor %}
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| 118 |
+
{%- if add_generation_prompt %}
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| 119 |
+
{{- '<|im_start|>assistant\n' }}
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| 120 |
+
{%- endif %}
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processor/processor_config.json
ADDED
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@@ -0,0 +1,64 @@
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{
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| 2 |
+
"image_processor": {
|
| 3 |
+
"data_format": "channels_first",
|
| 4 |
+
"default_to_square": true,
|
| 5 |
+
"do_convert_rgb": true,
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| 6 |
+
"do_normalize": true,
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| 7 |
+
"do_rescale": true,
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| 8 |
+
"do_resize": true,
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| 9 |
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"image_mean": [
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| 10 |
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0.5,
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| 11 |
+
0.5,
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| 12 |
+
0.5
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| 13 |
+
],
|
| 14 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 15 |
+
"image_std": [
|
| 16 |
+
0.5,
|
| 17 |
+
0.5,
|
| 18 |
+
0.5
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| 19 |
+
],
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| 20 |
+
"merge_size": 2,
|
| 21 |
+
"patch_size": 16,
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"longest_edge": 16777216,
|
| 26 |
+
"shortest_edge": 65536
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
},
|
| 30 |
+
"processor_class": "Qwen3VLProcessor",
|
| 31 |
+
"video_processor": {
|
| 32 |
+
"data_format": "channels_first",
|
| 33 |
+
"default_to_square": true,
|
| 34 |
+
"do_convert_rgb": true,
|
| 35 |
+
"do_normalize": true,
|
| 36 |
+
"do_rescale": true,
|
| 37 |
+
"do_resize": true,
|
| 38 |
+
"do_sample_frames": true,
|
| 39 |
+
"fps": 2,
|
| 40 |
+
"image_mean": [
|
| 41 |
+
0.5,
|
| 42 |
+
0.5,
|
| 43 |
+
0.5
|
| 44 |
+
],
|
| 45 |
+
"image_std": [
|
| 46 |
+
0.5,
|
| 47 |
+
0.5,
|
| 48 |
+
0.5
|
| 49 |
+
],
|
| 50 |
+
"max_frames": 768,
|
| 51 |
+
"merge_size": 2,
|
| 52 |
+
"min_frames": 4,
|
| 53 |
+
"patch_size": 16,
|
| 54 |
+
"resample": 3,
|
| 55 |
+
"rescale_factor": 0.00392156862745098,
|
| 56 |
+
"return_metadata": false,
|
| 57 |
+
"size": {
|
| 58 |
+
"longest_edge": 25165824,
|
| 59 |
+
"shortest_edge": 4096
|
| 60 |
+
},
|
| 61 |
+
"temporal_patch_size": 2,
|
| 62 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 63 |
+
}
|
| 64 |
+
}
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processor/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
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processor/tokenizer_config.json
ADDED
|
@@ -0,0 +1,16 @@
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{
|
| 2 |
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"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"is_local": true,
|
| 9 |
+
"local_files_only": true,
|
| 10 |
+
"model_max_length": 262144,
|
| 11 |
+
"pad_token": "<|endoftext|>",
|
| 12 |
+
"processor_class": "Qwen3VLProcessor",
|
| 13 |
+
"split_special_tokens": false,
|
| 14 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 15 |
+
"unk_token": null
|
| 16 |
+
}
|
scheduler/scheduler_config.json
ADDED
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@@ -0,0 +1,18 @@
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+
{
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| 2 |
+
"_class_name": "FlowMatchEulerDiscreteScheduler",
|
| 3 |
+
"_diffusers_version": "0.41.0.dev0",
|
| 4 |
+
"base_image_seq_len": 256,
|
| 5 |
+
"base_shift": 0.5,
|
| 6 |
+
"invert_sigmas": false,
|
| 7 |
+
"max_image_seq_len": 8192,
|
| 8 |
+
"max_shift": 0.9,
|
| 9 |
+
"num_train_timesteps": 1000,
|
| 10 |
+
"shift": 1.0,
|
| 11 |
+
"shift_terminal": 0.02,
|
| 12 |
+
"stochastic_sampling": false,
|
| 13 |
+
"time_shift_type": "exponential",
|
| 14 |
+
"use_beta_sigmas": false,
|
| 15 |
+
"use_dynamic_shifting": true,
|
| 16 |
+
"use_exponential_sigmas": false,
|
| 17 |
+
"use_karras_sigmas": false
|
| 18 |
+
}
|
text_encoder/config.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3VLForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"dtype": "float32",
|
| 6 |
+
"image_token_id": 151655,
|
| 7 |
+
"model_type": "qwen3_vl",
|
| 8 |
+
"text_config": {
|
| 9 |
+
"attention_bias": false,
|
| 10 |
+
"attention_dropout": 0.0,
|
| 11 |
+
"bos_token_id": 151643,
|
| 12 |
+
"eos_token_id": 151645,
|
| 13 |
+
"head_dim": 8,
|
| 14 |
+
"hidden_act": "silu",
|
| 15 |
+
"hidden_size": 16,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 32,
|
| 18 |
+
"max_position_embeddings": 262144,
|
| 19 |
+
"model_type": "qwen3_vl_text",
|
| 20 |
+
"num_attention_heads": 2,
|
| 21 |
+
"num_hidden_layers": 2,
|
| 22 |
+
"num_key_value_heads": 1,
|
| 23 |
+
"pad_token_id": null,
|
| 24 |
+
"rms_norm_eps": 1e-06,
|
| 25 |
+
"rope_parameters": {
|
| 26 |
+
"mrope_interleaved": true,
|
| 27 |
+
"mrope_section": [
|
| 28 |
+
2,
|
| 29 |
+
1,
|
| 30 |
+
1
|
| 31 |
+
],
|
| 32 |
+
"rope_theta": 5000000,
|
| 33 |
+
"rope_type": "default"
|
| 34 |
+
},
|
| 35 |
+
"use_cache": true,
|
| 36 |
+
"vocab_size": 151936
|
| 37 |
+
},
|
| 38 |
+
"tie_word_embeddings": true,
|
| 39 |
+
"transformers_version": "5.10.4",
|
| 40 |
+
"video_token_id": 151656,
|
| 41 |
+
"vision_config": {
|
| 42 |
+
"deepstack_visual_indexes": [
|
| 43 |
+
0,
|
| 44 |
+
1,
|
| 45 |
+
2
|
| 46 |
+
],
|
| 47 |
+
"depth": 3,
|
| 48 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 49 |
+
"hidden_size": 16,
|
| 50 |
+
"in_channels": 3,
|
| 51 |
+
"initializer_range": 0.02,
|
| 52 |
+
"intermediate_size": 32,
|
| 53 |
+
"model_type": "qwen3_vl_vision",
|
| 54 |
+
"num_heads": 2,
|
| 55 |
+
"num_position_embeddings": 2304,
|
| 56 |
+
"out_hidden_size": 16,
|
| 57 |
+
"patch_size": 16,
|
| 58 |
+
"spatial_merge_size": 2,
|
| 59 |
+
"temporal_patch_size": 2
|
| 60 |
+
},
|
| 61 |
+
"vision_end_token_id": 151653,
|
| 62 |
+
"vision_start_token_id": 151652
|
| 63 |
+
}
|
text_encoder/generation_config.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151645,
|
| 5 |
+
"output_attentions": false,
|
| 6 |
+
"output_hidden_states": false,
|
| 7 |
+
"transformers_version": "5.10.4",
|
| 8 |
+
"use_cache": true
|
| 9 |
+
}
|
text_encoder/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:51e2948a80852a8985b37cd35939207cdb066df20fde5cad392fd0c6aa6c4150
|
| 3 |
+
size 10109760
|
transformer/config.json
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "QwenImage21Transformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.41.0.dev0",
|
| 4 |
+
"attention_head_dim": 16,
|
| 5 |
+
"axes_dims_rope": [
|
| 6 |
+
4,
|
| 7 |
+
6,
|
| 8 |
+
6
|
| 9 |
+
],
|
| 10 |
+
"causal_condition": true,
|
| 11 |
+
"context_in_dim": 16,
|
| 12 |
+
"eps": 1e-06,
|
| 13 |
+
"in_channels": 64,
|
| 14 |
+
"mlp_ratio": 3,
|
| 15 |
+
"num_attention_heads": 2,
|
| 16 |
+
"num_layers": 2,
|
| 17 |
+
"out_channels": 64,
|
| 18 |
+
"patch_size": 1
|
| 19 |
+
}
|
transformer/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8c571d7b4489f1c3f78afc53f50f8f28e248d2ba0e63b29650413795739bf133
|
| 3 |
+
size 189416
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vae/config.json
ADDED
|
@@ -0,0 +1,161 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
+
"_class_name": "AutoencoderKLQwenImage21",
|
| 3 |
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"_diffusers_version": "0.41.0.dev0",
|
| 4 |
+
"attn_scales": [],
|
| 5 |
+
"base_dim": 8,
|
| 6 |
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"decoder_base_dim": 8,
|
| 7 |
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"dim_mult": [
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
+
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|
| 12 |
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|
| 13 |
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],
|
| 14 |
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"dropout": 0.0,
|
| 15 |
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"in_channels": 4,
|
| 16 |
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"is_residual": true,
|
| 17 |
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"latents_mean": [
|
| 18 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 148 |
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],
|
| 149 |
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"num_res_blocks": 1,
|
| 150 |
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"out_channels": 4,
|
| 151 |
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"patch_size": null,
|
| 152 |
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"scale_factor_spatial": 8,
|
| 153 |
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"scale_factor_temporal": 8,
|
| 154 |
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"temperal_downsample": [
|
| 155 |
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false,
|
| 156 |
+
true,
|
| 157 |
+
true,
|
| 158 |
+
true
|
| 159 |
+
],
|
| 160 |
+
"z_dim": 64
|
| 161 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
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oid sha256:f6d9c2a41b8fc23a724ed0871cff7b0f6a7128ff75c48ac5472b42ff4f682c14
|
| 3 |
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size 4542792
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