Upload QwenImageLayeredModularPipeline

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 pipeline 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]

mellon_pipeline_config.json

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+{
+  "label": "Flux2 Klein Auto Blocks",
+  "default_repo": "",
+  "default_dtype": "",
+  "node_params": {
+    "custom": {
+      "params": {
+        "prompt": {
+          "label": "Prompt",
+          "type": "string",
+          "display": "textarea",
+          "default": ""
+        },
+        "max_sequence_length": {
+          "label": "Max Sequence Length",
+          "type": "custom",
+          "display": "input"
+        },
+        "text_encoder_out_layers": {
+          "label": "Text Encoder Out Layers",
+          "type": "custom",
+          "display": "input"
+        },
+        "image": {
+          "label": "Image",
+          "type": "image",
+          "display": "input"
+        },
+        "height": {
+          "label": "Height",
+          "type": "custom",
+          "display": "input"
+        },
+        "width": {
+          "label": "Width",
+          "type": "custom",
+          "display": "input"
+        },
+        "generator": {
+          "label": "Generator",
+          "type": "custom",
+          "display": "input"
+        },
+        "num_images_per_prompt": {
+          "label": "Num Images Per Prompt",
+          "type": "custom",
+          "display": "input"
+        },
+        "image_latents": {
+          "label": "Image Latents",
+          "type": "custom",
+          "display": "input"
+        },
+        "latents": {
+          "label": "Latents",
+          "type": "custom",
+          "display": "input"
+        },
+        "num_inference_steps": {
+          "label": "Num Inference Steps",
+          "type": "int",
+          "default": 50
+        },
+        "timesteps": {
+          "label": "Timesteps",
+          "type": "custom",
+          "display": "input"
+        },
+        "sigmas": {
+          "label": "Sigmas",
+          "type": "custom",
+          "display": "input"
+        },
+        "joint_attention_kwargs": {
+          "label": "Joint Attention Kwargs",
+          "type": "custom",
+          "display": "input"
+        },
+        "output_type": {
+          "label": "Output Type",
+          "type": "custom",
+          "display": "input"
+        },
+        "text_encoder": {
+          "label": "Text Encoder",
+          "type": "diffusers_auto_model",
+          "display": "input"
+        },
+        "tokenizer": {
+          "label": "Tokenizer",
+          "type": "diffusers_auto_model",
+          "display": "input"
+        },
+        "image_processor": {
+          "label": "Image Processor",
+          "type": "diffusers_auto_model",
+          "display": "input"
+        },
+        "vae": {
+          "label": "Vae",
+          "type": "diffusers_auto_model",
+          "display": "input"
+        },
+        "scheduler": {
+          "label": "Scheduler",
+          "type": "diffusers_auto_model",
+          "display": "input"
+        },
+        "transformer": {
+          "label": "Transformer",
+          "type": "diffusers_auto_model",
+          "display": "input"
+        },
+        "images": {
+          "label": "Images",
+          "type": "image",
+          "display": "output"
+        },
+        "doc": {
+          "label": "Doc",
+          "type": "string",
+          "display": "output"
+        }
+      },
+      "input_names": [
+        "prompt",
+        "max_sequence_length",
+        "text_encoder_out_layers",
+        "image",
+        "height",
+        "width",
+        "generator",
+        "num_images_per_prompt",
+        "image_latents",
+        "latents",
+        "num_inference_steps",
+        "timesteps",
+        "sigmas",
+        "joint_attention_kwargs",
+        "output_type"
+      ],
+      "model_input_names": [
+        "text_encoder",
+        "tokenizer",
+        "image_processor",
+        "vae",
+        "scheduler",
+        "transformer"
+      ],
+      "output_names": [
+        "images",
+        "doc"
+      ],
+      "block_name": "custom",
+      "node_type": "custom"
+    }
+  }
+}

modular_model_index.json

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+{
+  "_blocks_class_name": "QwenImageLayeredAutoBlocks",
+  "_class_name": "QwenImageLayeredModularPipeline",
+  "_diffusers_version": "0.37.0.dev0",
+  "processor": [
+    null,
+    null,
+    {
+      "pretrained_model_name_or_path": "Qwen/Qwen-Image-Layered",
+      "revision": null,
+      "subfolder": "processor",
+      "type_hint": [
+        "transformers",
+        "Qwen2VLProcessor"
+      ],
+      "variant": null
+    }
+  ],
+  "scheduler": [
+    null,
+    null,
+    {
+      "pretrained_model_name_or_path": "Qwen/Qwen-Image-Layered",
+      "revision": null,
+      "subfolder": "scheduler",
+      "type_hint": [
+        "diffusers",
+        "FlowMatchEulerDiscreteScheduler"
+      ],
+      "variant": null
+    }
+  ],
+  "text_encoder": [
+    null,
+    null,
+    {
+      "pretrained_model_name_or_path": "Qwen/Qwen-Image-Layered",
+      "revision": null,
+      "subfolder": "text_encoder",
+      "type_hint": [
+        "transformers",
+        "Qwen2_5_VLForConditionalGeneration"
+      ],
+      "variant": null
+    }
+  ],
+  "tokenizer": [
+    null,
+    null,
+    {
+      "pretrained_model_name_or_path": "Qwen/Qwen-Image-Layered",
+      "revision": null,
+      "subfolder": "tokenizer",
+      "type_hint": [
+        "transformers",
+        "Qwen2Tokenizer"
+      ],
+      "variant": null
+    }
+  ],
+  "transformer": [
+    null,
+    null,
+    {
+      "pretrained_model_name_or_path": "Qwen/Qwen-Image-Layered",
+      "revision": null,
+      "subfolder": "transformer",
+      "type_hint": [
+        "diffusers",
+        "QwenImageTransformer2DModel"
+      ],
+      "variant": null
+    }
+  ],
+  "vae": [
+    null,
+    null,
+    {
+      "pretrained_model_name_or_path": "Qwen/Qwen-Image-Layered",
+      "revision": null,
+      "subfolder": "vae",
+      "type_hint": [
+        "diffusers",
+        "AutoencoderKLQwenImage"
+      ],
+      "variant": null
+    }
+  ]
+}