Upload StableDiffusionXLPipeline
Browse files- README.md +200 -0
- model_index.json +42 -0
- scheduler/scheduler_config.json +22 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- text_encoder_2/config.json +25 -0
- text_encoder_2/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +30 -0
- tokenizer/vocab.json +0 -0
- tokenizer_2/merges.txt +0 -0
- tokenizer_2/special_tokens_map.json +24 -0
- tokenizer_2/tokenizer_config.json +38 -0
- tokenizer_2/vocab.json +0 -0
- unet/config.json +73 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +34 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
README.md
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---
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library_name: diffusers
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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model_index.json
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.28.0.dev0",
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"_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
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"feature_extractor": [
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null,
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null
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],
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"force_zeros_for_empty_prompt": true,
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"image_encoder": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"EulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"tokenizer_2": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "EulerDiscreteScheduler",
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"_diffusers_version": "0.28.0.dev0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"sigma_max": null,
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"sigma_min": null,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
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{
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"_name_or_path": "/projects/hf_cache/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.40.2",
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"vocab_size": 49408
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}
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd
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size 246144152
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text_encoder_2/config.json
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{
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"_name_or_path": "/projects/hf_cache/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/text_encoder_2",
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_size": 1280,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 20,
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"num_hidden_layers": 32,
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.40.2",
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"vocab_size": 49408
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}
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text_encoder_2/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec310df2af79c318e24d20511b601a591ca8cd4f1fce1d8dff822a356bcdb1f4
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size 1389382176
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer/tokenizer_config.json
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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|startoftext|>",
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"clean_up_tokenization_spaces": true,
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"do_lower_case": true,
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"eos_token": "<|endoftext|>",
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"errors": "replace",
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"model_max_length": 77,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": "<|endoftext|>"
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}
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tokenizer/vocab.json
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tokenizer_2/merges.txt
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tokenizer_2/special_tokens_map.json
ADDED
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{
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"bos_token": {
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"content": "<|startoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "!",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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23 |
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}
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}
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tokenizer_2/tokenizer_config.json
ADDED
@@ -0,0 +1,38 @@
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{
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"add_prefix_space": false,
|
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"added_tokens_decoder": {
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"0": {
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"content": "!",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
|
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"single_word": false,
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"special": true
|
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},
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"49406": {
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"content": "<|startoftext|>",
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"lstrip": false,
|
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"normalized": true,
|
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"rstrip": false,
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"single_word": false,
|
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"special": true
|
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},
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"49407": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
|
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"special": true
|
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}
|
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},
|
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"bos_token": "<|startoftext|>",
|
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"clean_up_tokenization_spaces": true,
|
31 |
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"do_lower_case": true,
|
32 |
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"eos_token": "<|endoftext|>",
|
33 |
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"errors": "replace",
|
34 |
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"model_max_length": 77,
|
35 |
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"pad_token": "!",
|
36 |
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"tokenizer_class": "CLIPTokenizer",
|
37 |
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"unk_token": "<|endoftext|>"
|
38 |
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}
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tokenizer_2/vocab.json
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unet/config.json
ADDED
@@ -0,0 +1,73 @@
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1 |
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{
|
2 |
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"_class_name": "UNet2DConditionModel",
|
3 |
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"_diffusers_version": "0.28.0.dev0",
|
4 |
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"_name_or_path": "/projects/hf_cache/diffusion-sdxl-orpo-pixel-mapo-test-1/checkpoint-64",
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5 |
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"act_fn": "silu",
|
6 |
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": 256,
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"attention_head_dim": [
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5,
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10,
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20
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],
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"attention_type": "default",
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15 |
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"block_out_channels": [
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320,
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640,
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1280
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"class_embeddings_concat": false,
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"conv_in_kernel": 3,
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"conv_out_kernel": 3,
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"cross_attention_dim": 2048,
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"cross_attention_norm": null,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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30 |
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"CrossAttnDownBlock2D"
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],
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"downsample_padding": 1,
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"dropout": 0.0,
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"dual_cross_attention": false,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_only_cross_attention": null,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_attention_heads": null,
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"num_class_embeds": null,
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"only_cross_attention": false,
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"out_channels": 4,
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"projection_class_embeddings_input_dim": 2816,
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"resnet_out_scale_factor": 1.0,
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"resnet_skip_time_act": false,
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"resnet_time_scale_shift": "default",
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"reverse_transformer_layers_per_block": null,
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"sample_size": 128,
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"time_cond_proj_dim": null,
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"time_embedding_act_fn": null,
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"time_embedding_type": "positional",
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"timestep_post_act": null,
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"transformer_layers_per_block": [
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1,
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2,
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10
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],
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"up_block_types": [
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"CrossAttnUpBlock2D",
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68 |
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"CrossAttnUpBlock2D",
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"UpBlock2D"
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70 |
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],
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"upcast_attention": null,
|
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"use_linear_projection": true
|
73 |
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}
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unet/diffusion_pytorch_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:1ce7516e73556d3af89e4a8009b94e4359efe11fc9a0e4702a840919d825a062
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3 |
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size 5135149760
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vae/config.json
ADDED
@@ -0,0 +1,34 @@
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{
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2 |
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"_class_name": "AutoencoderKL",
|
3 |
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"_diffusers_version": "0.28.0.dev0",
|
4 |
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"_name_or_path": "/projects/hf_cache/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/vae",
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5 |
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"act_fn": "silu",
|
6 |
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"block_out_channels": [
|
7 |
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128,
|
8 |
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256,
|
9 |
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512,
|
10 |
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512
|
11 |
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],
|
12 |
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"down_block_types": [
|
13 |
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"DownEncoderBlock2D",
|
14 |
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"DownEncoderBlock2D",
|
15 |
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"DownEncoderBlock2D",
|
16 |
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"DownEncoderBlock2D"
|
17 |
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],
|
18 |
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"force_upcast": true,
|
19 |
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"in_channels": 3,
|
20 |
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"latent_channels": 4,
|
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"latents_mean": null,
|
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"latents_std": null,
|
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"layers_per_block": 2,
|
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"norm_num_groups": 32,
|
25 |
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"out_channels": 3,
|
26 |
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"sample_size": 1024,
|
27 |
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"scaling_factor": 0.13025,
|
28 |
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"up_block_types": [
|
29 |
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"UpDecoderBlock2D",
|
30 |
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"UpDecoderBlock2D",
|
31 |
+
"UpDecoderBlock2D",
|
32 |
+
"UpDecoderBlock2D"
|
33 |
+
]
|
34 |
+
}
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vae/diffusion_pytorch_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bcb60880a46b63dea58e9bc591abe15f8350bde47b405f9c38f4be70c6161e68
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3 |
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size 167335342
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