Text-to-Image
Diffusers
Safetensors
Flux2Pipeline
quantized
mxfp4
autoround
diffusion
autoquant-agent
Instructions to use INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("INCModel3/FLUX.2-dev-MXFP4-RTN-AutoRound", 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 quantized model FLUX.2-dev-MXFP4-RTN-AutoRound
Browse files- .gitattributes +1 -0
- model_index.json +25 -0
- scheduler/scheduler_config.json +18 -0
- text_encoder/config.json +59 -0
- text_encoder/generation_config.json +8 -0
- text_encoder/model.safetensors +3 -0
- tokenizer/chat_template.jinja +51 -0
- tokenizer/processor_config.json +33 -0
- tokenizer/tokenizer.json +3 -0
- tokenizer/tokenizer_config.json +16 -0
- transformer/config.json +45 -0
- transformer/model-00001-of-00005.safetensors +3 -0
- transformer/model-00002-of-00005.safetensors +3 -0
- transformer/model-00003-of-00005.safetensors +3 -0
- transformer/model-00004-of-00005.safetensors +3 -0
- transformer/model-00005-of-00005.safetensors +3 -0
- transformer/model.safetensors.index.json +533 -0
- transformer/quantization_config.json +18 -0
- vae/config.json +41 -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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model_index.json
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{
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"_class_name": "Flux2Pipeline",
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"_diffusers_version": "0.40.0",
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"_name_or_path": "/models/FLUX.2-dev",
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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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"Mistral3ForConditionalGeneration"
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],
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"tokenizer": [
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"transformers",
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"PixtralProcessor"
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],
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"transformer": [
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"diffusers",
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"Flux2Transformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKLFlux2"
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]
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}
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scheduler/scheduler_config.json
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@@ -0,0 +1,18 @@
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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"_diffusers_version": "0.40.0",
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"base_image_seq_len": 256,
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"base_shift": 0.5,
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"invert_sigmas": false,
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"max_image_seq_len": 4096,
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"max_shift": 1.15,
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"num_train_timesteps": 1000,
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"shift": 3.0,
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"shift_terminal": null,
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"stochastic_sampling": false,
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"time_shift_type": "exponential",
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"use_beta_sigmas": false,
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"use_dynamic_shifting": true,
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"use_exponential_sigmas": false,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
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@@ -0,0 +1,59 @@
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{
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"architectures": [
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"Mistral3ForConditionalGeneration"
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],
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"dtype": "bfloat16",
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"image_token_index": 10,
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"model_type": "mistral3",
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"multimodal_projector_bias": false,
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| 9 |
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"projector_hidden_act": "gelu",
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"spatial_merge_size": 2,
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"text_config": {
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| 12 |
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"dtype": "bfloat16",
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 32768,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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| 25 |
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"num_key_value_heads": 8,
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| 26 |
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"pad_token_id": null,
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| 27 |
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 1000000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"use_cache": true,
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"vocab_size": 131072
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.14.1",
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"vision_config": {
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"head_dim": 64,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"image_size": 1540,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"model_type": "pixtral",
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"num_attention_heads": 16,
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"num_channels": 3,
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"num_hidden_layers": 24,
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"patch_size": 14,
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"rope_parameters": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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}
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},
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"vision_feature_layer": -1
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}
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text_encoder/generation_config.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"do_sample": true,
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"eos_token_id": 2,
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| 6 |
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"temperature": 0.15,
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"transformers_version": "5.14.1"
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}
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text_encoder/model.safetensors
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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 sha256:06405bef994b95760c931bdacc37303ef5c4f116890e436e275f591241e10c12
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+
size 48022801424
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tokenizer/chat_template.jinja
ADDED
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@@ -0,0 +1,51 @@
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{%- set today = strftime_now("%Y-%m-%d") %}
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| 2 |
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{%- set default_system_message = "You are Mistral Small 3, a Large Language Model (LLM) created by Mistral AI, a French startup headquartered in Paris.\nYour knowledge base was last updated on 2023-10-01. The current date is " + today + ".\n\nWhen you're not sure about some information, you say that you don't have the information and don't make up anything.\nIf the user's question is not clear, ambiguous, or does not provide enough context for you to accurately answer the question, you do not try to answer it right away and you rather ask the user to clarify their request (e.g. \"What are some good restaurants around me?\" => \"Where are you?\" or \"When is the next flight to Tokyo\" => \"Where do you travel from?\")" %}
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{{- bos_token }}
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{%- if messages[0]['role'] == 'system' %}
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{%- if messages[0]['content'] is string %}
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| 8 |
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{%- set system_message = messages[0]['content'] %}
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{%- else %}
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{%- set system_message = messages[0]['content'][0]['text'] %}
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| 11 |
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{%- endif %}
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{%- set loop_messages = messages[1:] %}
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| 13 |
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{%- else %}
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| 14 |
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{%- set system_message = default_system_message %}
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| 15 |
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{%- set loop_messages = messages %}
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| 16 |
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{%- endif %}
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{{- '[SYSTEM_PROMPT]' + system_message + '[/SYSTEM_PROMPT]' }}
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| 18 |
+
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| 19 |
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{%- for message in loop_messages %}
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| 20 |
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{%- if message['role'] == 'user' %}
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| 21 |
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{%- if message['content'] is string %}
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| 22 |
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{{- '[INST]' + message['content'] + '[/INST]' }}
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| 23 |
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{%- else %}
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| 24 |
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{{- '[INST]' }}
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| 25 |
+
{%- for block in message['content'] %}
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| 26 |
+
{%- if block['type'] == 'text' %}
|
| 27 |
+
{{- block['text'] }}
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| 28 |
+
{%- elif block['type'] in ['image', 'image_url'] %}
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| 29 |
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{{- '[IMG]' }}
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| 30 |
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{%- else %}
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| 31 |
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{{- raise_exception('Only text and image blocks are supported in message content!') }}
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| 32 |
+
{%- endif %}
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| 33 |
+
{%- endfor %}
|
| 34 |
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{{- '[/INST]' }}
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| 35 |
+
{%- endif %}
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| 36 |
+
{%- elif message['role'] == 'system' %}
|
| 37 |
+
{%- if message['content'] is string %}
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| 38 |
+
{{- '[SYSTEM_PROMPT]' + message['content'] + '[/SYSTEM_PROMPT]' }}
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| 39 |
+
{%- else %}
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| 40 |
+
{{- '[SYSTEM_PROMPT]' + message['content'][0]['text'] + '[/SYSTEM_PROMPT]' }}
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| 41 |
+
{%- endif %}
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| 42 |
+
{%- elif message['role'] == 'assistant' %}
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| 43 |
+
{%- if message['content'] is string %}
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| 44 |
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{{- message['content'] + eos_token }}
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| 45 |
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{%- else %}
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| 46 |
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{{- message['content'][0]['text'] + eos_token }}
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| 47 |
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{%- endif %}
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| 48 |
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{%- else %}
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| 49 |
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{{- raise_exception('Only user, system and assistant roles are supported!') }}
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| 50 |
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{%- endif %}
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| 51 |
+
{%- endfor %}
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tokenizer/processor_config.json
ADDED
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{
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| 2 |
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"image_break_token": "[IMG_BREAK]",
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| 3 |
+
"image_end_token": "[IMG_END]",
|
| 4 |
+
"image_processor": {
|
| 5 |
+
"data_format": "channels_first",
|
| 6 |
+
"default_to_square": true,
|
| 7 |
+
"do_convert_rgb": true,
|
| 8 |
+
"do_normalize": true,
|
| 9 |
+
"do_rescale": true,
|
| 10 |
+
"do_resize": true,
|
| 11 |
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"image_mean": [
|
| 12 |
+
0.48145466,
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| 13 |
+
0.4578275,
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| 14 |
+
0.40821073
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| 15 |
+
],
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| 16 |
+
"image_processor_type": "PixtralImageProcessor",
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| 17 |
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"image_std": [
|
| 18 |
+
0.26862954,
|
| 19 |
+
0.26130258,
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| 20 |
+
0.27577711
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| 21 |
+
],
|
| 22 |
+
"patch_size": 14,
|
| 23 |
+
"resample": 3,
|
| 24 |
+
"rescale_factor": 0.00392156862745098,
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| 25 |
+
"size": {
|
| 26 |
+
"longest_edge": 1540
|
| 27 |
+
}
|
| 28 |
+
},
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| 29 |
+
"image_token": "[IMG]",
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| 30 |
+
"patch_size": 14,
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| 31 |
+
"processor_class": "PixtralProcessor",
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| 32 |
+
"spatial_merge_size": 2
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| 33 |
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}
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tokenizer/tokenizer.json
ADDED
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:b76085f9923309d873994d444989f7eb6ec074b06f25b58f1e8d7b7741070949
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| 3 |
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size 17078037
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tokenizer/tokenizer_config.json
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{
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| 2 |
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"add_prefix_space": null,
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| 3 |
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"backend": "tokenizers",
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| 4 |
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"bos_token": "<s>",
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| 5 |
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"clean_up_tokenization_spaces": false,
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| 6 |
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"eos_token": "</s>",
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| 7 |
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"is_local": true,
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| 8 |
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"legacy": true,
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| 9 |
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"local_files_only": false,
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| 10 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 11 |
+
"pad_token": "<pad>",
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| 12 |
+
"processor_class": "PixtralProcessor",
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| 13 |
+
"tokenizer_class": "TokenizersBackend",
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| 14 |
+
"unk_token": "<unk>",
|
| 15 |
+
"use_default_system_prompt": false
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| 16 |
+
}
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transformer/config.json
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"time_guidance_embed.guidance_embedder.linear_1.weight": "model-00004-of-00005.safetensors",
|
| 524 |
+
"time_guidance_embed.guidance_embedder.linear_2.weight": "model-00005-of-00005.safetensors",
|
| 525 |
+
"double_stream_modulation_img.linear.weight": "model-00005-of-00005.safetensors",
|
| 526 |
+
"double_stream_modulation_txt.linear.weight": "model-00005-of-00005.safetensors",
|
| 527 |
+
"single_stream_modulation.linear.weight": "model-00005-of-00005.safetensors",
|
| 528 |
+
"x_embedder.weight": "model-00005-of-00005.safetensors",
|
| 529 |
+
"context_embedder.weight": "model-00005-of-00005.safetensors",
|
| 530 |
+
"norm_out.linear.weight": "model-00005-of-00005.safetensors",
|
| 531 |
+
"proj_out.weight": "model-00005-of-00005.safetensors"
|
| 532 |
+
}
|
| 533 |
+
}
|
transformer/quantization_config.json
ADDED
|
@@ -0,0 +1,18 @@
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|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bits": 4,
|
| 3 |
+
"act_bits": 4,
|
| 4 |
+
"data_type": "mx_fp",
|
| 5 |
+
"act_data_type": "mx_fp",
|
| 6 |
+
"group_size": 32,
|
| 7 |
+
"act_group_size": 32,
|
| 8 |
+
"sym": true,
|
| 9 |
+
"act_sym": true,
|
| 10 |
+
"act_dynamic": true,
|
| 11 |
+
"enable_quanted_input": false,
|
| 12 |
+
"static_attention_granularity": "tensor",
|
| 13 |
+
"static_kv_granularity": "tensor",
|
| 14 |
+
"autoround_version": "0.15.0",
|
| 15 |
+
"block_name_to_quantize": "transformer_blocks,single_transformer_blocks",
|
| 16 |
+
"quant_method": "auto-round",
|
| 17 |
+
"packing_format": "auto_round:llm_compressor"
|
| 18 |
+
}
|
vae/config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKLFlux2",
|
| 3 |
+
"_diffusers_version": "0.40.0",
|
| 4 |
+
"_name_or_path": "/models/FLUX.2-dev/vae",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"batch_norm_eps": 0.0001,
|
| 7 |
+
"batch_norm_momentum": 0.1,
|
| 8 |
+
"block_out_channels": [
|
| 9 |
+
128,
|
| 10 |
+
256,
|
| 11 |
+
512,
|
| 12 |
+
512
|
| 13 |
+
],
|
| 14 |
+
"decoder_block_out_channels": null,
|
| 15 |
+
"down_block_types": [
|
| 16 |
+
"DownEncoderBlock2D",
|
| 17 |
+
"DownEncoderBlock2D",
|
| 18 |
+
"DownEncoderBlock2D",
|
| 19 |
+
"DownEncoderBlock2D"
|
| 20 |
+
],
|
| 21 |
+
"force_upcast": true,
|
| 22 |
+
"in_channels": 3,
|
| 23 |
+
"latent_channels": 32,
|
| 24 |
+
"layers_per_block": 2,
|
| 25 |
+
"mid_block_add_attention": true,
|
| 26 |
+
"norm_num_groups": 32,
|
| 27 |
+
"out_channels": 3,
|
| 28 |
+
"patch_size": [
|
| 29 |
+
2,
|
| 30 |
+
2
|
| 31 |
+
],
|
| 32 |
+
"sample_size": 1024,
|
| 33 |
+
"up_block_types": [
|
| 34 |
+
"UpDecoderBlock2D",
|
| 35 |
+
"UpDecoderBlock2D",
|
| 36 |
+
"UpDecoderBlock2D",
|
| 37 |
+
"UpDecoderBlock2D"
|
| 38 |
+
],
|
| 39 |
+
"use_post_quant_conv": true,
|
| 40 |
+
"use_quant_conv": true
|
| 41 |
+
}
|
vae/diffusion_pytorch_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ca70d2202afe6415bdbcb8793ba8cd99fd159cfe6192381504d6c4d3036e0f04
|
| 3 |
+
size 168120878
|