Upload FluxPipeline

README.md

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+---
+library_name: diffusers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]

model_index.json

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+{
+  "_class_name": "FluxPipeline",
+  "_diffusers_version": "0.31.0",
+  "_name_or_path": "katuni4ka/tiny-random-flux",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "transformer": [
+    "diffusers",
+    "FluxTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_config.json

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+{
+  "_class_name": "FlowMatchEulerDiscreteScheduler",
+  "_diffusers_version": "0.31.0",
+  "base_image_seq_len": 256,
+  "base_shift": 0.5,
+  "max_image_seq_len": 4096,
+  "max_shift": 1.15,
+  "num_train_timesteps": 1000,
+  "shift": 1.0,
+  "use_dynamic_shifting": false
+}

text_encoder/config.json

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+{
+  "_name_or_path": "/home/user/.cache/huggingface/hub/models--katuni4ka--tiny-random-flux/snapshots/36abdcc25faf1a91425f0e38ffa8b5d427534cef/text_encoder",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_size": 32,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 77,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 5,
+  "pad_token_id": 1,
+  "projection_dim": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "vocab_size": 1000
+}

text_encoder/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:103860291b96610a23d9dda96f6a3c4e6c6dd67e5984a0d5e7c8e62769ac6412
+size 283212

text_encoder_2/config.json

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+{
+  "_name_or_path": "/home/user/.cache/huggingface/hub/models--katuni4ka--tiny-random-flux/snapshots/36abdcc25faf1a91425f0e38ffa8b5d427534cef/text_encoder_2",
+  "architectures": [
+    "CLIPTextModel"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_size": 32,
+  "initializer_factor": 1.0,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 512,
+  "model_type": "clip_text_model",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 5,
+  "pad_token_id": 1,
+  "projection_dim": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "vocab_size": 1000
+}

text_encoder_2/model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8c093b1b18bef854366bb97c08aa7f8fd9902c3c3a93f4d32c39d276a6ebb4f6
+size 338900

tokenizer/merges.txt

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tokenizer/special_tokens_map.json

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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer/tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
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+  "Ł</w>": 335,
+  "ł": 193,
+  "ł</w>": 252,
+  "Ń": 194,
+  "Ń</w>": 297
+}

tokenizer_2/merges.txt

@@ -0,0 +1,647 @@
+#version: 0.2
+Ġ t
+Ġt h
+Ġ a
+Ġth e</w>
+i n
+Ġ o
+Ġ ,</w>
+Ġ s
+e d</w>
+Ġ w
+e r
+Ġ .</w>
+Ġ i
+r e
+Ġ c
+n d</w>
+Ġ f
+Ġ b
+a t
+Ġo f</w>
+e r</w>
+e n
+a r
+o r
+i t
+Ġ p
+Ġ h
+Ġa nd</w>
+o n
+in g</w>
+a n
+r o
+Ġ m
+Ġ d
+e s</w>
+Ġi n</w>
+o n</w>
+Ġt o</w>
+o u
+i s
+Ġ a</w>
+i c
+Ġ T
+a l
+Ġ l
+Ġ =</w>
+Ġ re
+Ġ "</w>
+e s
+Ġ S
+a s</w>
+a l</w>
+i l
+e l
+i on</w>
+Ġ A
+Ġ C
+Ġ 1
+Ġ Ċ</w>
+u r
+ĠT h
+Ġ n
+a s
+Ġ @
+e c
+o m
+a c
+Ġ e
+Ġw as</w>
+Ġ M
+o r</w>
+a n</w>
+a m
+e n</w>
+o l
+Ġ in
+Ġ g
+Ġ '</w>
+Ġ B
+l y</w>
+a t</w>
+i v
+t s</w>
+ĠTh e</w>
+u s
+- @</w>
+Ġ@ -@</w>
+i s</w>
+Ġ I
+Ġw h
+i g
+Ġ H
+Ġs t
+o s
+u n
+t h
+Ġ P
+Ġw it
+Ġth at</w>
+i r
+Ġa s</w>
+e m
+Ġo n</w>
+r a
+Ġf or</w>
+Ġ R
+e t
+o w
+Ġ 2
+i d
+Ġ D
+l e</w>
+Ġwit h</w>
+l a
+en t</w>
+i m
+Ġ F
+e a
+i on
+Ġb y</w>
+Ġ )</w>
+Ġ (</w>
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+Ġc on
+en t
+Ġ W
+Ġi s</w>
+er e</w>
+Ġ G
+Ġ N
+Ġ L
+Ġh a
+er s</w>
+r i
+t h</w>
+t ed</w>
+u c
+Ġ J
+Ġ1 9
+e v
+u l
+Ġ v
+c e</w>
+at ion</w>
+ro m</w>
+Ġb e
+Ġ E
+i n</w>
+Ġth e
+Ġf rom</w>
+Ġ O
+t er</w>
+Ġp ro
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+a d
+Ġc om
+i c</w>
+a g
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+o v
+i es</w>
+o o
+p p
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+Ġ r
+Ġ2 0
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+u d
+Ġe x
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+at ed</w>
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+q u
+Ġn o
+Ġ K
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+in g
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+Ġs e
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+o d
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+ĠC h
+on g</w>
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+es t</w>
+Ġ U
+a p
+f f
+al ly</w>
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+g e</w>
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+i a</w>
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+an d
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+i d</w>
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+Ġ ;</w>
+Ġcom p
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+Ġin c
+t r
+Ġ20 0
+Ġthe ir</w>
+u s</w>
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+r an
+ic al</w>
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+Ġ ro
+s o</w>
+ĠâĢ ĵ</w>
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+f ter</w>
+ur e</w>
+Ġp ar
+Ġ :</w>
+i an</w>
+Ġt w
+ou ld</w>
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+Ġw or
+u m</w>
+Ġo r</w>
+os t</w>
+0 0</w>
+ou r
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+is h</w>
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+ou g
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+as t</w>
+Ġ en
+om e</w>
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+ea r</w>
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+t ing</w>
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+a y
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+Ġbe en</w>
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+Ġtw o</w>
+Ġc l
+d er</w>
+im e</w>
+k s</w>
+es s</w>
+is h
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+Ġ@ .@</w>
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+Ġp l
+Ġo r
+u p</w>
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+ol l
+ĠI n
+Ġth is</w>
+Ġb ec
+Ġcom m
+Ġd is
+at er</w>
+ag e</w>
+Ġa pp
+ou s</w>
+e y</w>
+i l</w>
+p er
+ĠA l
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+l ud
+el y</w>
+t t
+il e</w>
+i z
+Ġ j
+Ġwh o</w>
+Ġa g
+i b
+Ġthe y</w>
+f or
+Ġo v
+at h
+e g
+Ġs c
+i p
+Ġ20 1
+Ġ 3
+Ġp er
+or y</w>
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+id e</w>
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+s e</w>
+ĠH e</w>
+la nd</w>
+at ions</w>
+r ic
+i t</w>
+re s</w>
+er ed</w>
+Ġp re
+ĠS h
+an ce</w>
+or t</w>
+an t</w>
+, @</w>
+Ġ@ ,@</w>
+el l</w>
+Ġ Y
+n ed</w>
+el l
+it e</w>
+Ġinc lud
+Ġre p
+Ġa fter</w>
+Ġs uc
+re e</w>
+an y</w>
+i m</w>
+or t
+Ġ1 8
+Ġs u
+ad e</w>
+ou r</w>
+ĠU n
+ĠI t</w>
+i k
+ĠM ar
+em ber</w>
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+e en</w>
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+ic e</w>
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+e e
+ish ed</w>
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+is ion</w>
+ou th</w>
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+Ġa ss
+Ġse ason</w>
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+il y</w>
+r u
+o y
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+t e</w>
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+Ġm ov
+ur y</w>
+ĠAm eric
+em ent</w>
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+ou nd</w>
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+Ġfor m
+ec t</w>
+Ġde f
+Ġm us
+ĠP ar
+Ġm e
+Ġs ub
+w ay</w>
+o p</w>
+o h
+el d</w>
+i e</w>
+em p
+am es</w>
+er n</w>
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+iv ed</w>
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+Ġsuc h</w>
+ar ds</w>
+Ġin d
+ik e</w>
+Ġg en
+er t
+Ġy ear</w>
+Ġus ed</w>
+Ġn ew</w>
+Ġ 5</w>
+Ġal b
+s p
+y p
+Ġwit h
+Ġwh ere</w>
+ic s</w>
+ĠTh is</w>
+Ġthe m</w>
+w n</w>

tokenizer_2/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
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