Initial release

.gitattributes

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+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
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LICENSE

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+This repository aggregates components under multiple licenses.
+
+See `README.md` and `licenses/` for component-level licensing details.
+Use and redistribution of the combined weights are governed by the most restrictive terms.

README.md

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+---
+license: other
+license_name: circlestone-labs-non-commercial-license
+license_link: https://huggingface.co/circlestone-labs/Anima/blob/main/LICENSE.md
+---
+
+# Anima (Diffusers Format)
+
+This repository provides the [`circlestone-labs/Anima`](https://huggingface.co/circlestone-labs/Anima) text-to-image model — developed by [CircleStone Labs](https://huggingface.co/circlestone-labs) and [Comfy Org](https://github.com/Comfy-Org) — converted to the standard Hugging Face `diffusers` format. This allows loading the model natively using `AnimaPipeline.from_pretrained()`.
+
+**Code repository:** [hdae/diffusers-anima](https://github.com/hdae/diffusers-anima)
+
+## Licensing Information
+
+The model pipeline is composed of several components, each subject to their respective licenses. Overall redistribution and usage of the weights must comply with the most restrictive license, which limits the model itself to **non-commercial and non-production use**. However, **outputs generated by the model may be used for any purpose, including commercial purposes**.
+
+* **Anima Base Model (Transformer)**: CircleStone Labs Non-Commercial License v1.0 & NVIDIA Open Model License Agreement.
+* **Qwen Components (Text Encoder, VAE, Tokenizer)**: Apache 2.0
+* **T5 Components (Text Encoder)**: Apache 2.0
+
+Please refer to the [`licenses/`](./licenses/) directory within this repository for the full text of each license.
+
+## Install
+
+```bash
+pip install git+https://github.com/hdae/diffusers-anima.git
+```
+
+Or with [uv](https://docs.astral.sh/uv/):
+
+```bash
+uv add git+https://github.com/hdae/diffusers-anima.git
+```
+
+## Usage
+
+```python
+from diffusers_anima import AnimaPipeline
+import torch
+
+pipe = AnimaPipeline.from_pretrained(
+    "hdae/diffusers-anima-preview",
+    torch_dtype=torch.bfloat16
+)
+# Optimizations
+pipe.enable_model_cpu_offload()
+pipe.enable_vae_slicing()
+
+# Generate
+image = pipe(
+    prompt="A beautiful sunset over the mountains",
+    width=1024,
+    height=1024,
+    num_inference_steps=32,
+).images[0]
+
+image.save("output.png")
+```

licenses/LICENSE_anima

@@ -0,0 +1,53 @@
+CircleStone Labs Non-Commercial License v1.0
+
+CircleStone Labs LLC (“we” or “our” or “Company”) is pleased to make the weights, parameters, and inference code for the CircleStone Models (as defined below) freely available for your non-commercial and non-production use as set forth in this CircleStone Labs Non-Commercial License (“License”).  “Models” includes all model elements, such as weights, algorithms, software, checkpoints, parameters, source code (inference code, evaluation code, and if applicable, fine-tuning code) and any other materials associated with the CircleStone AI models made available by Company under this License, including if any, the technical documentation, manuals, and instructions for the use and operation thereof (individually and collectively, the “CircleStone Models”). Note that we may also make available certain elements of what is included in the definition of “CircleStone Model” under a separate license, such as the inference code, and nothing in this License will be deemed to restrict or limit any other licenses granted by us in such elements.
+
+By downloading, accessing, using, Distributing (as defined below), or creating a Derivative (as defined below) of the CircleStone Model, you agree to the terms of this License. If you do not agree to this License, then you do not have any rights to access, use, Distribute or create a Derivative of the CircleStone Model and you must immediately cease using the CircleStone Model. If you are agreeing to be bound by the terms of this License on behalf of your employer or other entity, you represent and warrant to us that you have full legal authority to bind your employer or such entity to this License. If you do not have the requisite authority, you may not accept the License or access the CircleStone Model on behalf of your employer or other entity.
+
+1. Definitions.
+- a. “Derivative”  means any (i) modified version of the CircleStone Model (including but not limited to any customized or fine-tuned version thereof), (ii) work based on the CircleStone Model, including Low-rank Adaptations (“LoRAs”) and textual inversions based on a CircleStone Model, or (iii) any other derivative work thereof. For the avoidance of doubt, Outputs are not considered Derivatives under this License.
+- b. “Distribution” or “Distribute” or “Distributing” means providing or making available, by any means, a copy of the CircleStone Models and/or the Derivatives as the case may be, including by making the CircleStone Models and/or the Derivatives available to third-parties on a hosted basis.
+- c. “Non-Commercial Purpose” means any of the following uses, but only so far as you do not receive any direct or indirect payment arising from the use of the CircleStone Model, or Derivatives: (i) personal use for research, experimentation, and testing for the benefit of public knowledge, personal study, private entertainment, hobby projects, or otherwise not directly or indirectly connected to any commercial activities, business operations, or employment responsibilities; (ii) internal use by commercial or for-profit entities for testing, evaluation, or non-commercial research and development in a non-production environment; and (iii) use by any charitable organization for charitable purposes, or for testing or evaluation. For clarity, use (a) for revenue-generating activity, (b) in direct interactions with or that has impact on third-party end users, or (c) to train, fine tune, or distill other models for commercial use, in each case, is not a Non-Commercial Purpose.
+- d. “Outputs” means any content generated by the operation of the CircleStone Models or Derivatives from an input (such as an image input) or prompt (i.e., text instructions) provided by users. For the avoidance of doubt, Outputs do not include any components of the CircleStone Models, such as any fine-tuned versions of the CircleStone Models, any LoRAs or textual inversions, the weights, or parameters.
+- e. “you” or “your” means the individual or entity entering into this License with Company.
+
+2. License Grant.
+- a. License. Subject to your compliance with this License, Company grants you a non-exclusive, worldwide, non-transferable, non-sublicensable, revocable, royalty free, and limited license to access, use, create Derivatives of, and Distribute the CircleStone Models and Derivatives solely for your Non-Commercial Purposes. The foregoing license is personal to you, and you may not assign or sublicense this License or any other rights or obligations under this License without Company’s prior written consent; any such assignment or sublicense will be void and will automatically and immediately terminate this License.  Any restrictions set forth herein regarding the CircleStone Model also apply to any Derivative you create or that are created on your behalf.
+- b. Non-Commercial Use Only.  You may only access, use, Distribute, or create Derivatives of the CircleStone Model or Derivatives for Non-Commercial Purposes.  If you want to use a CircleStone Model or a Derivative for any purpose that is not expressly authorized under this License, such as for a commercial activity, you must request a license from Company, which Company may grant to you in Company’s sole discretion and which additional use may be subject to a fee, royalty or other revenue share. Please refer to the details in the Model Card if you would like a commercial license.
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+
+3. Distribution. Subject to this License, you may Distribute copies of the CircleStone Model and/or Derivatives made by you, under the following conditions:
+- a. you must make available a copy of this License to third-party recipients of the CircleStone Models and/or Derivatives you Distribute, and specify that any rights to use the CircleStone Models and/or Derivatives shall be directly granted by Company to said third-party recipients pursuant to this License;
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+
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+IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.”
+
+- c. with respect to each licensee who purchases a commercial license to the Models, you agree that such licensee shall have the right to exercise such commercial license with respect to all Derivatives developed by you pursuant to the same terms and conditions agreed by the Company and such commercial licensee with respect to the Models; provided, that, you will not be entitled to receive any royalty fees, license fees or other remuneration in connection with the commercial licensee’s use of your Derivatives under such commercial license, and you hereby waive all right to receive any consideration in connection therewith;
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+
+4. Restrictions.  You will not, and will not permit, assist or cause any third party to
+- a. use, modify, copy, reproduce, create Derivatives of, or Distribute the CircleStone Model (or any Derivative thereof, or any data produced by the CircleStone Model), in whole or in part, (i) for any commercial or production purposes, (ii) in any manner that infringes, misappropriates, or otherwise violates (or is likely to infringe, misappropriate, or otherwise violate) any third party’s legal rights, including rights of publicity or “digital replica” rights, (iii) in any unlawful, fraudulent, defamatory, or abusive activity, (iv) to generate unlawful content, including child sexual abuse material, or non-consensual intimate images; or (v) in any manner that violates any applicable laws, rules, regulations, directives, or governmental requirements;
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+
+5. DISCLAIMERS.  THE CIRCLESTONE MODELS ARE PROVIDED “AS IS” AND “WITH ALL FAULTS” WITH NO WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. COMPANY EXPRESSLY DISCLAIMS ALL REPRESENTATIONS AND WARRANTIES, EXPRESS OR IMPLIED, WHETHER BY STATUTE, CUSTOM, USAGE OR OTHERWISE AS TO ANY MATTERS RELATED TO THE CIRCLESTONE MODELS, INCLUDING BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE, SATISFACTORY QUALITY, OR NON-INFRINGEMENT. COMPANY MAKES NO WARRANTIES OR REPRESENTATIONS THAT THE CIRCLESTONE MODELS WILL BE ERROR FREE OR FREE OF VIRUSES OR OTHER HARMFUL COMPONENTS, OR PRODUCE ANY PARTICULAR RESULTS.
+
+6. LIMITATION OF LIABILITY.  TO THE FULLEST EXTENT PERMITTED BY LAW, IN NO EVENT WILL COMPANY BE LIABLE TO YOU OR YOUR EMPLOYEES, AFFILIATES, USERS, OFFICERS OR DIRECTORS (A) UNDER ANY THEORY OF LIABILITY, WHETHER BASED IN CONTRACT, TORT, NEGLIGENCE, STRICT LIABILITY, WARRANTY, OR OTHERWISE UNDER THIS LICENSE, OR (B) FOR ANY INDIRECT, CONSEQUENTIAL, EXEMPLARY, INCIDENTAL, PUNITIVE OR SPECIAL DAMAGES OR LOST PROFITS, EVEN IF COMPANY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. THE CIRCLESTONE MODELS, THEIR CONSTITUENT COMPONENTS, AND ANY OUTPUT (COLLECTIVELY, “MODEL MATERIALS”) ARE NOT DESIGNED OR INTENDED FOR USE IN ANY APPLICATION OR SITUATION WHERE FAILURE OR FAULT OF THE MODEL MATERIALS COULD REASONABLY BE ANTICIPATED TO LEAD TO SERIOUS INJURY OF ANY PERSON, INCLUDING POTENTIAL DISCRIMINATION OR VIOLATION OF AN INDIVIDUAL’S PRIVACY RIGHTS, OR TO SEVERE PHYSICAL, PROPERTY, OR ENVIRONMENTAL DAMAGE (EACH, A “HIGH-RISK USE”). IF YOU ELECT TO USE ANY OF THE MODEL MATERIALS FOR A HIGH-RISK USE, YOU DO SO AT YOUR OWN RISK. YOU AGREE TO DESIGN AND IMPLEMENT APPROPRIATE DECISION-MAKING AND RISK-MITIGATION PROCEDURES AND POLICIES IN CONNECTION WITH A HIGH-RISK USE SUCH THAT EVEN IF THERE IS A FAILURE OR FAULT IN ANY OF THE MODEL MATERIALS, THE SAFETY OF PERSONS OR PROPERTY AFFECTED BY THE ACTIVITY STAYS AT A LEVEL THAT IS REASONABLE, APPROPRIATE, AND LAWFUL FOR THE FIELD OF THE HIGH-RISK USE.
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+
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+
+9. Third Party Materials. The CircleStone Models may contain third-party software or other components (including free and open source software) (all of the foregoing, “Third Party Materials”), which are subject to the license terms of the respective third-party licensors. Your dealings or correspondence with third parties and your use of or interaction with any Third Party Materials are solely between you and the third party. Company does not control or endorse, and makes no representations or warranties regarding, any Third Party Materials, and your access to and use of such Third Party Materials are at your own risk.
+
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+
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licenses/LICENSE_qwen

@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
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+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
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+
+   Copyright 2024 Alibaba Cloud
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
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+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

licenses/LICENSE_t5

@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
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+
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+
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+      boilerplate notice, with the fields enclosed by brackets "[]"
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+      file or class name and description of purpose be included on the
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+   Copyright [yyyy] [name of copyright owner]
+
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+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
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+       http://www.apache.org/licenses/LICENSE-2.0
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+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

licenses/README.md

@@ -0,0 +1,15 @@
+# Licenses
+
+This folder contains the licensing terms for the `Anima` model and its underlying components:
+
+- **`LICENSE_anima`**: Terms for the Anima base model (CircleStone Labs Non-Commercial License v1.0 & NVIDIA Open Model License Agreement).
+- **`LICENSE_qwen`**: Terms for the Qwen 3 0.6B Base Text Encoder and Qwen Image VAE/Tokenizer (Apache 2.0). 
+- **`LICENSE_t5`**: Terms for the Google Flan-T5-XL Tokenizer (Apache 2.0).
+
+### Redistribution
+
+The `hdae/diffusers-anima-preview` repository aggregates weights that are subject to differing licenses:
+- **Anima Transformer**: Non-commercial use only (CircleStone Labs Non-Commercial License v1.0).
+- **Qwen Components / T5 Components**: Commercially permissible (Apache 2.0).
+
+Therefore, the combined pipeline as distributed is restricted to the **most restrictive license** (CircleStone Labs Non-Commercial License v1.0). Users should be aware that while they can use generated output commercially, the model weights themselves cannot be used commercially.

model_index.json

@@ -0,0 +1,24 @@
+{
+  "_class_name": "AnimaPipeline",
+  "_diffusers_version": "0.36.0",
+  "prompt_tokenizer": [
+    null,
+    null
+  ],
+  "scheduler": [
+    "diffusers_anima.schedulers.anima_flow_match_euler",
+    "AnimaFlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "Qwen3Model"
+  ],
+  "transformer": [
+    "diffusers_anima.models.transformers.modeling_anima_transformer",
+    "AnimaTransformerModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKLQwenImage"
+  ]
+}

prompt_tokenizer_qwen/chat_template.jinja

@@ -0,0 +1,54 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# 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>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\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" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.content }}
+        {{- '\n</tool_response>' }}
+        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
+            {{- '<|im_end|>\n' }}
+        {%- endif %}
+    {%- endif %}
+{%- endfor %}
+{%- if add_generation_prompt %}
+    {{- '<|im_start|>assistant\n' }}
+{%- endif %}

prompt_tokenizer_qwen/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b4360dd6a184650ffc48056c2569bc603f896c5adfe94b10f1c79f809638aa5
+size 11422166

prompt_tokenizer_qwen/tokenizer_config.json

@@ -0,0 +1,14 @@
+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

prompt_tokenizer_t5/tokenizer_config.json

@@ -0,0 +1,113 @@
+{
+  "backend": "tokenizers",
+  "eos_token": "</s>",
+  "extra_ids": 100,
+  "extra_special_tokens": [
+    "<extra_id_0>",
+    "<extra_id_1>",
+    "<extra_id_2>",
+    "<extra_id_3>",
+    "<extra_id_4>",
+    "<extra_id_5>",
+    "<extra_id_6>",
+    "<extra_id_7>",
+    "<extra_id_8>",
+    "<extra_id_9>",
+    "<extra_id_10>",
+    "<extra_id_11>",
+    "<extra_id_12>",
+    "<extra_id_13>",
+    "<extra_id_14>",
+    "<extra_id_15>",
+    "<extra_id_16>",
+    "<extra_id_17>",
+    "<extra_id_18>",
+    "<extra_id_19>",
+    "<extra_id_20>",
+    "<extra_id_21>",
+    "<extra_id_22>",
+    "<extra_id_23>",
+    "<extra_id_24>",
+    "<extra_id_25>",
+    "<extra_id_26>",
+    "<extra_id_27>",
+    "<extra_id_28>",
+    "<extra_id_29>",
+    "<extra_id_30>",
+    "<extra_id_31>",
+    "<extra_id_32>",
+    "<extra_id_33>",
+    "<extra_id_34>",
+    "<extra_id_35>",
+    "<extra_id_36>",
+    "<extra_id_37>",
+    "<extra_id_38>",
+    "<extra_id_39>",
+    "<extra_id_40>",
+    "<extra_id_41>",
+    "<extra_id_42>",
+    "<extra_id_43>",
+    "<extra_id_44>",
+    "<extra_id_45>",
+    "<extra_id_46>",
+    "<extra_id_47>",
+    "<extra_id_48>",
+    "<extra_id_49>",
+    "<extra_id_50>",
+    "<extra_id_51>",
+    "<extra_id_52>",
+    "<extra_id_53>",
+    "<extra_id_54>",
+    "<extra_id_55>",
+    "<extra_id_56>",
+    "<extra_id_57>",
+    "<extra_id_58>",
+    "<extra_id_59>",
+    "<extra_id_60>",
+    "<extra_id_61>",
+    "<extra_id_62>",
+    "<extra_id_63>",
+    "<extra_id_64>",
+    "<extra_id_65>",
+    "<extra_id_66>",
+    "<extra_id_67>",
+    "<extra_id_68>",
+    "<extra_id_69>",
+    "<extra_id_70>",
+    "<extra_id_71>",
+    "<extra_id_72>",
+    "<extra_id_73>",
+    "<extra_id_74>",
+    "<extra_id_75>",
+    "<extra_id_76>",
+    "<extra_id_77>",
+    "<extra_id_78>",
+    "<extra_id_79>",
+    "<extra_id_80>",
+    "<extra_id_81>",
+    "<extra_id_82>",
+    "<extra_id_83>",
+    "<extra_id_84>",
+    "<extra_id_85>",
+    "<extra_id_86>",
+    "<extra_id_87>",
+    "<extra_id_88>",
+    "<extra_id_89>",
+    "<extra_id_90>",
+    "<extra_id_91>",
+    "<extra_id_92>",
+    "<extra_id_93>",
+    "<extra_id_94>",
+    "<extra_id_95>",
+    "<extra_id_96>",
+    "<extra_id_97>",
+    "<extra_id_98>",
+    "<extra_id_99>"
+  ],
+  "is_local": false,
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "T5Tokenizer",
+  "unk_token": "<unk>"
+}

scheduler/scheduler_config.json

@@ -0,0 +1,24 @@
+{
+  "_class_name": "AnimaFlowMatchEulerDiscreteScheduler",
+  "_diffusers_version": "0.36.0",
+  "base_image_seq_len": 256,
+  "base_shift": 0.5,
+  "beta_alpha": 0.6,
+  "beta_beta": 0.6,
+  "eta": 1.0,
+  "invert_sigmas": false,
+  "max_image_seq_len": 4096,
+  "max_shift": 1.15,
+  "num_train_timesteps": 1000,
+  "s_noise": 1.0,
+  "sampler": "euler_a_rf",
+  "shift": 3.0,
+  "shift_terminal": null,
+  "sigma_schedule": "beta",
+  "stochastic_sampling": false,
+  "time_shift_type": "exponential",
+  "use_beta_sigmas": false,
+  "use_dynamic_shifting": false,
+  "use_exponential_sigmas": false,
+  "use_karras_sigmas": false
+}

text_encoder/config.json

@@ -0,0 +1,63 @@
+{
+  "architectures": [
+    "Qwen3Model"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": null,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 8,
+  "pad_token_id": null,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.1.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

text_encoder/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:75e8db94adb374b61baca3d898fc2c0d5086d20689a96d4e74576546433a0526
+size 1192133232

transformer/config.json

@@ -0,0 +1,4 @@
+{
+  "_class_name": "AnimaTransformerModel",
+  "_diffusers_version": "0.36.0"
+}

transformer/diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d8430530cac2aecc0298200e5b99726ff82624d71923c7340c04c7c9d11b843
+size 4182221096

vae/config.json

@@ -0,0 +1,56 @@
+{
+  "_class_name": "AutoencoderKLQwenImage",
+  "_diffusers_version": "0.36.0",
+  "attn_scales": [],
+  "base_dim": 96,
+  "dim_mult": [
+    1,
+    2,
+    4,
+    4
+  ],
+  "dropout": 0.0,
+  "latents_mean": [
+    -0.7571,
+    -0.7089,
+    -0.9113,
+    0.1075,
+    -0.1745,
+    0.9653,
+    -0.1517,
+    1.5508,
+    0.4134,
+    -0.0715,
+    0.5517,
+    -0.3632,
+    -0.1922,
+    -0.9497,
+    0.2503,
+    -0.2921
+  ],
+  "latents_std": [
+    2.8184,
+    1.4541,
+    2.3275,
+    2.6558,
+    1.2196,
+    1.7708,
+    2.6052,
+    2.0743,
+    3.2687,
+    2.1526,
+    2.8652,
+    1.5579,
+    1.6382,
+    1.1253,
+    2.8251,
+    1.916
+  ],
+  "num_res_blocks": 2,
+  "temperal_downsample": [
+    false,
+    true,
+    true
+  ],
+  "z_dim": 16
+}

vae/diffusion_pytorch_model.safetensors

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