Instructions to use Felldude/Krea-2-Raw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Felldude/Krea-2-Raw with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Felldude/Krea-2-Raw", 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
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +66 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/chat_template.jinja +120 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +29 -0
- transformer/config.json +25 -0
- transformer/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +58 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
.gitattributes
CHANGED
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@@ -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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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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scheduler/scheduler_config.json
ADDED
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@@ -0,0 +1,18 @@
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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| 3 |
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"_diffusers_version": "0.39.0.dev0",
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| 4 |
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"base_image_seq_len": 256,
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| 5 |
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"base_shift": 0.5,
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| 6 |
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"invert_sigmas": false,
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| 7 |
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"max_image_seq_len": 6400,
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| 8 |
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"max_shift": 1.15,
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| 9 |
+
"num_train_timesteps": 1000,
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| 10 |
+
"shift": 1.0,
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| 11 |
+
"shift_terminal": null,
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| 12 |
+
"stochastic_sampling": false,
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| 13 |
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"time_shift_type": "exponential",
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| 14 |
+
"use_beta_sigmas": false,
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| 15 |
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"use_dynamic_shifting": true,
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| 16 |
+
"use_exponential_sigmas": false,
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| 17 |
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"use_karras_sigmas": false
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| 18 |
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}
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text_encoder/config.json
ADDED
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@@ -0,0 +1,66 @@
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{
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"architectures": [
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"Qwen3VLModel"
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+
],
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| 5 |
+
"dtype": "float32",
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| 6 |
+
"image_token_id": 151655,
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| 7 |
+
"model_type": "qwen3_vl",
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| 8 |
+
"text_config": {
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| 9 |
+
"attention_bias": false,
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| 10 |
+
"attention_dropout": 0.0,
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| 11 |
+
"bos_token_id": 151643,
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| 12 |
+
"dtype": "bfloat16",
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| 13 |
+
"eos_token_id": 151645,
|
| 14 |
+
"head_dim": 128,
|
| 15 |
+
"hidden_act": "silu",
|
| 16 |
+
"hidden_size": 2560,
|
| 17 |
+
"initializer_range": 0.02,
|
| 18 |
+
"intermediate_size": 9728,
|
| 19 |
+
"max_position_embeddings": 262144,
|
| 20 |
+
"model_type": "qwen3_vl_text",
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| 21 |
+
"num_attention_heads": 32,
|
| 22 |
+
"num_hidden_layers": 36,
|
| 23 |
+
"num_key_value_heads": 8,
|
| 24 |
+
"pad_token_id": null,
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| 25 |
+
"rms_norm_eps": 1e-06,
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| 26 |
+
"rope_parameters": {
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| 27 |
+
"mrope_interleaved": true,
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| 28 |
+
"mrope_section": [
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+
24,
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+
20,
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+
20
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+
],
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| 33 |
+
"rope_theta": 5000000,
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| 34 |
+
"rope_type": "default"
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| 35 |
+
},
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| 36 |
+
"tie_word_embeddings": true,
|
| 37 |
+
"use_cache": true,
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| 38 |
+
"vocab_size": 151936
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| 39 |
+
},
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| 40 |
+
"tie_word_embeddings": true,
|
| 41 |
+
"transformers_version": "5.2.0",
|
| 42 |
+
"video_token_id": 151656,
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| 43 |
+
"vision_config": {
|
| 44 |
+
"deepstack_visual_indexes": [
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| 45 |
+
5,
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| 46 |
+
11,
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+
17
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+
],
|
| 49 |
+
"depth": 24,
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| 50 |
+
"dtype": "float32",
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| 51 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 52 |
+
"hidden_size": 1024,
|
| 53 |
+
"in_channels": 3,
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| 54 |
+
"initializer_range": 0.02,
|
| 55 |
+
"intermediate_size": 4096,
|
| 56 |
+
"model_type": "qwen3_vl",
|
| 57 |
+
"num_heads": 16,
|
| 58 |
+
"num_position_embeddings": 2304,
|
| 59 |
+
"out_hidden_size": 2560,
|
| 60 |
+
"patch_size": 16,
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| 61 |
+
"spatial_merge_size": 2,
|
| 62 |
+
"temporal_patch_size": 2
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| 63 |
+
},
|
| 64 |
+
"vision_end_token_id": 151653,
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| 65 |
+
"vision_start_token_id": 151652
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| 66 |
+
}
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text_encoder/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:a6a48c83cfa589fde9b72865194938f3608f62de3e0f0f4fb9f4774aecbad30c
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| 3 |
+
size 17751351304
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tokenizer/chat_template.jinja
ADDED
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@@ -0,0 +1,120 @@
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| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{%- if messages[0].content is string %}
|
| 5 |
+
{{- messages[0].content }}
|
| 6 |
+
{%- else %}
|
| 7 |
+
{%- for content in messages[0].content %}
|
| 8 |
+
{%- if 'text' in content %}
|
| 9 |
+
{{- content.text }}
|
| 10 |
+
{%- endif %}
|
| 11 |
+
{%- endfor %}
|
| 12 |
+
{%- endif %}
|
| 13 |
+
{{- '\n\n' }}
|
| 14 |
+
{%- endif %}
|
| 15 |
+
{{- "# 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>" }}
|
| 16 |
+
{%- for tool in tools %}
|
| 17 |
+
{{- "\n" }}
|
| 18 |
+
{{- tool | tojson }}
|
| 19 |
+
{%- endfor %}
|
| 20 |
+
{{- "\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" }}
|
| 21 |
+
{%- else %}
|
| 22 |
+
{%- if messages[0].role == 'system' %}
|
| 23 |
+
{{- '<|im_start|>system\n' }}
|
| 24 |
+
{%- if messages[0].content is string %}
|
| 25 |
+
{{- messages[0].content }}
|
| 26 |
+
{%- else %}
|
| 27 |
+
{%- for content in messages[0].content %}
|
| 28 |
+
{%- if 'text' in content %}
|
| 29 |
+
{{- content.text }}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- endfor %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '<|im_end|>\n' }}
|
| 34 |
+
{%- endif %}
|
| 35 |
+
{%- endif %}
|
| 36 |
+
{%- set image_count = namespace(value=0) %}
|
| 37 |
+
{%- set video_count = namespace(value=0) %}
|
| 38 |
+
{%- for message in messages %}
|
| 39 |
+
{%- if message.role == "user" %}
|
| 40 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 41 |
+
{%- if message.content is string %}
|
| 42 |
+
{{- message.content }}
|
| 43 |
+
{%- else %}
|
| 44 |
+
{%- for content in message.content %}
|
| 45 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 46 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 47 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 48 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 49 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 50 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 51 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 52 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 53 |
+
{%- elif 'text' in content %}
|
| 54 |
+
{{- content.text }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- endfor %}
|
| 57 |
+
{%- endif %}
|
| 58 |
+
{{- '<|im_end|>\n' }}
|
| 59 |
+
{%- elif message.role == "assistant" %}
|
| 60 |
+
{{- '<|im_start|>' + message.role + '\n' }}
|
| 61 |
+
{%- if message.content is string %}
|
| 62 |
+
{{- message.content }}
|
| 63 |
+
{%- else %}
|
| 64 |
+
{%- for content_item in message.content %}
|
| 65 |
+
{%- if 'text' in content_item %}
|
| 66 |
+
{{- content_item.text }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{%- endfor %}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- if message.tool_calls %}
|
| 71 |
+
{%- for tool_call in message.tool_calls %}
|
| 72 |
+
{%- if (loop.first and message.content) or (not loop.first) %}
|
| 73 |
+
{{- '\n' }}
|
| 74 |
+
{%- endif %}
|
| 75 |
+
{%- if tool_call.function %}
|
| 76 |
+
{%- set tool_call = tool_call.function %}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 79 |
+
{{- tool_call.name }}
|
| 80 |
+
{{- '", "arguments": ' }}
|
| 81 |
+
{%- if tool_call.arguments is string %}
|
| 82 |
+
{{- tool_call.arguments }}
|
| 83 |
+
{%- else %}
|
| 84 |
+
{{- tool_call.arguments | tojson }}
|
| 85 |
+
{%- endif %}
|
| 86 |
+
{{- '}\n</tool_call>' }}
|
| 87 |
+
{%- endfor %}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{{- '<|im_end|>\n' }}
|
| 90 |
+
{%- elif message.role == "tool" %}
|
| 91 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 92 |
+
{{- '<|im_start|>user' }}
|
| 93 |
+
{%- endif %}
|
| 94 |
+
{{- '\n<tool_response>\n' }}
|
| 95 |
+
{%- if message.content is string %}
|
| 96 |
+
{{- message.content }}
|
| 97 |
+
{%- else %}
|
| 98 |
+
{%- for content in message.content %}
|
| 99 |
+
{%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
|
| 100 |
+
{%- set image_count.value = image_count.value + 1 %}
|
| 101 |
+
{%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
|
| 102 |
+
<|vision_start|><|image_pad|><|vision_end|>
|
| 103 |
+
{%- elif content.type == 'video' or 'video' in content %}
|
| 104 |
+
{%- set video_count.value = video_count.value + 1 %}
|
| 105 |
+
{%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
|
| 106 |
+
<|vision_start|><|video_pad|><|vision_end|>
|
| 107 |
+
{%- elif 'text' in content %}
|
| 108 |
+
{{- content.text }}
|
| 109 |
+
{%- endif %}
|
| 110 |
+
{%- endfor %}
|
| 111 |
+
{%- endif %}
|
| 112 |
+
{{- '\n</tool_response>' }}
|
| 113 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 114 |
+
{{- '<|im_end|>\n' }}
|
| 115 |
+
{%- endif %}
|
| 116 |
+
{%- endif %}
|
| 117 |
+
{%- endfor %}
|
| 118 |
+
{%- if add_generation_prompt %}
|
| 119 |
+
{{- '<|im_start|>assistant\n' }}
|
| 120 |
+
{%- endif %}
|
tokenizer/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
|
| 3 |
+
size 11422650
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tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,29 @@
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| 1 |
+
{
|
| 2 |
+
"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 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": true,
|
| 24 |
+
"model_max_length": 262144,
|
| 25 |
+
"pad_token": "<|endoftext|>",
|
| 26 |
+
"split_special_tokens": false,
|
| 27 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 28 |
+
"unk_token": null
|
| 29 |
+
}
|
transformer/config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "Krea2Transformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.39.0.dev0",
|
| 4 |
+
"attention_head_dim": 128,
|
| 5 |
+
"axes_dims_rope": [
|
| 6 |
+
32,
|
| 7 |
+
48,
|
| 8 |
+
48
|
| 9 |
+
],
|
| 10 |
+
"in_channels": 64,
|
| 11 |
+
"intermediate_size": 16384,
|
| 12 |
+
"norm_eps": 1e-05,
|
| 13 |
+
"num_attention_heads": 48,
|
| 14 |
+
"num_key_value_heads": 12,
|
| 15 |
+
"num_layers": 28,
|
| 16 |
+
"num_layerwise_text_blocks": 2,
|
| 17 |
+
"num_refiner_text_blocks": 2,
|
| 18 |
+
"num_text_layers": 12,
|
| 19 |
+
"rope_theta": 1000.0,
|
| 20 |
+
"text_hidden_dim": 2560,
|
| 21 |
+
"text_intermediate_size": 6912,
|
| 22 |
+
"text_num_attention_heads": 20,
|
| 23 |
+
"text_num_key_value_heads": 20,
|
| 24 |
+
"timestep_embed_dim": 256
|
| 25 |
+
}
|
transformer/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b368f35608b45a0710cfd326fc8c39eced6ea72c6eec476ffc5797f59e4aacac
|
| 3 |
+
size 51280341592
|
vae/config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKLQwenImage",
|
| 3 |
+
"_diffusers_version": "0.39.0.dev0",
|
| 4 |
+
"_name_or_path": "Qwen/Qwen-Image",
|
| 5 |
+
"attn_scales": [],
|
| 6 |
+
"base_dim": 96,
|
| 7 |
+
"dim_mult": [
|
| 8 |
+
1,
|
| 9 |
+
2,
|
| 10 |
+
4,
|
| 11 |
+
4
|
| 12 |
+
],
|
| 13 |
+
"dropout": 0.0,
|
| 14 |
+
"input_channels": 3,
|
| 15 |
+
"latents_mean": [
|
| 16 |
+
-0.7571,
|
| 17 |
+
-0.7089,
|
| 18 |
+
-0.9113,
|
| 19 |
+
0.1075,
|
| 20 |
+
-0.1745,
|
| 21 |
+
0.9653,
|
| 22 |
+
-0.1517,
|
| 23 |
+
1.5508,
|
| 24 |
+
0.4134,
|
| 25 |
+
-0.0715,
|
| 26 |
+
0.5517,
|
| 27 |
+
-0.3632,
|
| 28 |
+
-0.1922,
|
| 29 |
+
-0.9497,
|
| 30 |
+
0.2503,
|
| 31 |
+
-0.2921
|
| 32 |
+
],
|
| 33 |
+
"latents_std": [
|
| 34 |
+
2.8184,
|
| 35 |
+
1.4541,
|
| 36 |
+
2.3275,
|
| 37 |
+
2.6558,
|
| 38 |
+
1.2196,
|
| 39 |
+
1.7708,
|
| 40 |
+
2.6052,
|
| 41 |
+
2.0743,
|
| 42 |
+
3.2687,
|
| 43 |
+
2.1526,
|
| 44 |
+
2.8652,
|
| 45 |
+
1.5579,
|
| 46 |
+
1.6382,
|
| 47 |
+
1.1253,
|
| 48 |
+
2.8251,
|
| 49 |
+
1.916
|
| 50 |
+
],
|
| 51 |
+
"num_res_blocks": 2,
|
| 52 |
+
"temperal_downsample": [
|
| 53 |
+
false,
|
| 54 |
+
true,
|
| 55 |
+
true
|
| 56 |
+
],
|
| 57 |
+
"z_dim": 16
|
| 58 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3c0d4f85dd3e70d64685febf55df7d49e9f8473bfdd8a769229787be3aa078f
|
| 3 |
+
size 507591212
|