Clean up 74 orphaned files

Heartsync_NSFW-Uncensored/README.md

@@ -1,86 +0,0 @@
----
-license: mit
-language:
-- en
-pipeline_tag: text-to-image
-tags:
-- stablediffusion
-- uncensored
-- nsfw
-- image
-- generation
-widget:
-  - text: >-
-      TEST
-    output:
-      url: samples/nsfw1.webp
-  - text: >-
-      TEST
-    output:
-      url: samples/nsfw2.webp
-  - text: >-
-      TEST
-    output:
-      url: samples/nsfw3.webp
-  - text: >-
-      TEST
-    output:
-      url: samples/nsfw4.webp      
----
-# NSFW-Uncensored
-
-## Uncensored Image Generation Model
-
-#### Model Description
-This model is a playground that minimizes censorship restrictions, allowing exploration of the technical possibilities of AI-based image generation. Through various prompts, you can test censorship boundaries and verify the actual performance of image generation AI.
-
-## Example code
-
-```python
-# Basic usage example
-from diffusers import DiffusionPipeline
-import torch
-
-# Load the model (with float16 precision for GPU)
-pipe = DiffusionPipeline.from_pretrained(
-    "Heartsync/NSFW-Uncensored",
-    torch_dtype=torch.float16
-)
-pipe.to("cuda")  # Move to GPU
-
-# Generate an image with a simple prompt
-prompt = "Woman in an elegant dress standing by a window, detailed lighting, 8k"
-negative_prompt = "low quality, blurry, deformed"
-
-# Create the image
-image = pipe(
-    prompt=prompt,
-    negative_prompt=negative_prompt,
-    num_inference_steps=30,
-    guidance_scale=7.5
-).images[0]
-
-# Save the image
-image.save("generated_image.png")
-
-# Advanced example - fixed seed and additional parameters
-import numpy as np
-
-# Set seed for reproducible results
-seed = 42
-generator = torch.Generator("cuda").manual_seed(seed)
-
-# Advanced parameter settings
-prompt = "A dramatic scene with explicit details, cinematic lighting, high resolution"
-image = pipe(
-    prompt=prompt,
-    negative_prompt="ugly, deformed, disfigured, poor quality, low resolution",
-    num_inference_steps=50,  # More steps for higher quality
-    guidance_scale=8.0,     # Increase prompt fidelity
-    width=768,              # Adjust image width
-    height=768,             # Adjust image height
-    generator=generator     # Fixed seed
-).images[0]
-
-image.save("high_quality_image.png")
-```

Heartsync_NSFW-Uncensored/model_index.json

@@ -1,41 +0,0 @@
-{
-  "_class_name": "StableDiffusionXLPipeline",
-  "_diffusers_version": "0.27.2",
-  "feature_extractor": [
-    null,
-    null
-  ],
-  "force_zeros_for_empty_prompt": true,
-  "image_encoder": [
-    null,
-    null
-  ],
-  "scheduler": [
-    "diffusers",
-    "EulerDiscreteScheduler"
-  ],
-  "text_encoder": [
-    "transformers",
-    "CLIPTextModel"
-  ],
-  "text_encoder_2": [
-    "transformers",
-    "CLIPTextModelWithProjection"
-  ],
-  "tokenizer": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
-  "tokenizer_2": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
-  "unet": [
-    "diffusers",
-    "UNet2DConditionModel"
-  ],
-  "vae": [
-    "diffusers",
-    "AutoencoderKL"
-  ]
-}

Heartsync_NSFW-Uncensored/scheduler/scheduler_config.json

@@ -1,21 +0,0 @@
-{
-  "_class_name": "EulerDiscreteScheduler",
-  "_diffusers_version": "0.27.2",
-  "beta_end": 0.012,
-  "beta_schedule": "scaled_linear",
-  "beta_start": 0.00085,
-  "interpolation_type": "linear",
-  "num_train_timesteps": 1000,
-  "prediction_type": "epsilon",
-  "rescale_betas_zero_snr": false,
-  "sample_max_value": 1.0,
-  "set_alpha_to_one": false,
-  "sigma_max": null,
-  "sigma_min": null,
-  "skip_prk_steps": true,
-  "steps_offset": 1,
-  "timestep_spacing": "leading",
-  "timestep_type": "discrete",
-  "trained_betas": null,
-  "use_karras_sigmas": false
-}

Heartsync_NSFW-Uncensored/test_app.py

@@ -1,46 +0,0 @@
-# Basic usage example
-from diffusers import DiffusionPipeline
-import torch
-
-# Load the model (with float16 precision for GPU)
-pipe = DiffusionPipeline.from_pretrained(
-    "Heartsync/NSFW-Uncensored",
-    torch_dtype=torch.float16
-)
-pipe.to("cuda")  # Move to GPU
-
-# Generate an image with a simple prompt
-prompt = "Woman in an elegant dress standing by a window, detailed lighting, 8k"
-negative_prompt = "low quality, blurry, deformed"
-
-# Create the image
-image = pipe(
-    prompt=prompt,
-    negative_prompt=negative_prompt,
-    num_inference_steps=30,
-    guidance_scale=7.5
-).images[0]
-
-# Save the image
-image.save("generated_image.png")
-
-# Advanced example - fixed seed and additional parameters
-import numpy as np
-
-# Set seed for reproducible results
-seed = 42
-generator = torch.Generator("cuda").manual_seed(seed)
-
-# Advanced parameter settings
-prompt = "A dramatic scene with explicit details, cinematic lighting, high resolution"
-image = pipe(
-    prompt=prompt,
-    negative_prompt="ugly, deformed, disfigured, poor quality, low resolution",
-    num_inference_steps=50,  # More steps for higher quality
-    guidance_scale=8.0,     # Increase prompt fidelity
-    width=768,              # Adjust image width
-    height=768,             # Adjust image height
-    generator=generator     # Fixed seed
-).images[0]
-
-image.save("high_quality_image.png")

Heartsync_NSFW-Uncensored/text_encoder/config.json

@@ -1,24 +0,0 @@
-{
-  "architectures": [
-    "CLIPTextModel"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 0,
-  "dropout": 0.0,
-  "eos_token_id": 2,
-  "hidden_act": "quick_gelu",
-  "hidden_size": 768,
-  "initializer_factor": 1.0,
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 77,
-  "model_type": "clip_text_model",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "pad_token_id": 1,
-  "projection_dim": 768,
-  "torch_dtype": "float32",
-  "transformers_version": "4.41.1",
-  "vocab_size": 49408
-}

Heartsync_NSFW-Uncensored/text_encoder/model.fp16.safetensors

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Heartsync_NSFW-Uncensored/text_encoder_2/config.json

@@ -1,24 +0,0 @@
-{
-  "architectures": [
-    "CLIPTextModelWithProjection"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 0,
-  "dropout": 0.0,
-  "eos_token_id": 2,
-  "hidden_act": "gelu",
-  "hidden_size": 1280,
-  "initializer_factor": 1.0,
-  "initializer_range": 0.02,
-  "intermediate_size": 5120,
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 77,
-  "model_type": "clip_text_model",
-  "num_attention_heads": 20,
-  "num_hidden_layers": 32,
-  "pad_token_id": 1,
-  "projection_dim": 1280,
-  "torch_dtype": "float32",
-  "transformers_version": "4.41.1",
-  "vocab_size": 49408
-}

Heartsync_NSFW-Uncensored/text_encoder_2/model.fp16.safetensors

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Heartsync_NSFW-Uncensored/tokenizer/special_tokens_map.json

@@ -1,30 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|startoftext|>",
-    "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
-  }
-}

Heartsync_NSFW-Uncensored/tokenizer/test.json

@@ -1 +0,0 @@
-test

Heartsync_NSFW-Uncensored/tokenizer/tokenizer_config.json

@@ -1,30 +0,0 @@
-{
-  "add_prefix_space": false,
-  "added_tokens_decoder": {
-    "49406": {
-      "content": "<|startoftext|>",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "49407": {
-      "content": "<|endoftext|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "bos_token": "<|startoftext|>",
-  "clean_up_tokenization_spaces": true,
-  "do_lower_case": true,
-  "eos_token": "<|endoftext|>",
-  "errors": "replace",
-  "model_max_length": 77,
-  "pad_token": "<|endoftext|>",
-  "tokenizer_class": "CLIPTokenizer",
-  "unk_token": "<|endoftext|>"
-}

Heartsync_NSFW-Uncensored/tokenizer_2/special_tokens_map.json

@@ -1,24 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "!",
-  "unk_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
-}

Heartsync_NSFW-Uncensored/tokenizer_2/test.json

@@ -1 +0,0 @@
-test2

Heartsync_NSFW-Uncensored/tokenizer_2/tokenizer_config.json

@@ -1,38 +0,0 @@
-{
-  "add_prefix_space": false,
-  "added_tokens_decoder": {
-    "0": {
-      "content": "!",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "49406": {
-      "content": "<|startoftext|>",
-      "lstrip": false,
-      "normalized": true,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "49407": {
-      "content": "<|endoftext|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    }
-  },
-  "bos_token": "<|startoftext|>",
-  "clean_up_tokenization_spaces": true,
-  "do_lower_case": true,
-  "eos_token": "<|endoftext|>",
-  "errors": "replace",
-  "model_max_length": 77,
-  "pad_token": "!",
-  "tokenizer_class": "CLIPTokenizer",
-  "unk_token": "<|endoftext|>"
-}

Heartsync_NSFW-Uncensored/unet/config.json

@@ -1,72 +0,0 @@
-{
-  "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.27.2",
-  "act_fn": "silu",
-  "addition_embed_type": "text_time",
-  "addition_embed_type_num_heads": 64,
-  "addition_time_embed_dim": 256,
-  "attention_head_dim": [
-    5,
-    10,
-    20
-  ],
-  "attention_type": "default",
-  "block_out_channels": [
-    320,
-    640,
-    1280
-  ],
-  "center_input_sample": false,
-  "class_embed_type": null,
-  "class_embeddings_concat": false,
-  "conv_in_kernel": 3,
-  "conv_out_kernel": 3,
-  "cross_attention_dim": 2048,
-  "cross_attention_norm": null,
-  "down_block_types": [
-    "DownBlock2D",
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D"
-  ],
-  "downsample_padding": 1,
-  "dropout": 0.0,
-  "dual_cross_attention": false,
-  "encoder_hid_dim": null,
-  "encoder_hid_dim_type": null,
-  "flip_sin_to_cos": true,
-  "freq_shift": 0,
-  "in_channels": 4,
-  "layers_per_block": 2,
-  "mid_block_only_cross_attention": null,
-  "mid_block_scale_factor": 1,
-  "mid_block_type": "UNetMidBlock2DCrossAttn",
-  "norm_eps": 1e-05,
-  "norm_num_groups": 32,
-  "num_attention_heads": null,
-  "num_class_embeds": null,
-  "only_cross_attention": false,
-  "out_channels": 4,
-  "projection_class_embeddings_input_dim": 2816,
-  "resnet_out_scale_factor": 1.0,
-  "resnet_skip_time_act": false,
-  "resnet_time_scale_shift": "default",
-  "reverse_transformer_layers_per_block": null,
-  "sample_size": 128,
-  "time_cond_proj_dim": null,
-  "time_embedding_act_fn": null,
-  "time_embedding_dim": null,
-  "time_embedding_type": "positional",
-  "timestep_post_act": null,
-  "transformer_layers_per_block": [
-    1,
-    2,
-    10
-  ],
-  "up_block_types": [
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D",
-    "UpBlock2D"
-  ],
-  "upcast_attention": false,
-  "use_linear_projection": true
-}

Heartsync_NSFW-Uncensored/unet/diffusion_pytorch_model.fp16.safetensors

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Heartsync_NSFW-Uncensored/vae/config.json

@@ -1,33 +0,0 @@
-{
-  "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.27.2",
-  "act_fn": "silu",
-  "block_out_channels": [
-    128,
-    256,
-    512,
-    512
-  ],
-  "down_block_types": [
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D"
-  ],
-  "force_upcast": true,
-  "in_channels": 3,
-  "latent_channels": 4,
-  "latents_mean": null,
-  "latents_std": null,
-  "layers_per_block": 2,
-  "norm_num_groups": 32,
-  "out_channels": 3,
-  "sample_size": 1024,
-  "scaling_factor": 0.13025,
-  "up_block_types": [
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D"
-  ]
-}

Heartsync_NSFW-Uncensored/vae/diffusion_pytorch_model.fp16.safetensors

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Qwen-Image-Edit-2511-bnb-nf4/README.md

@@ -1,167 +0,0 @@
----
-license: apache-2.0
-library_name: diffusers
-base_model: Qwen/Qwen-Image-Edit-2511
-tags:
-  - image-to-image
-  - image-editing
-  - qwen
-  - quantized
-  - bitsandbytes
-  - nf4
-  - 4bit
-pipeline_tag: image-to-image
----
-
-# Qwen-Image-Edit-2511-bnb-nf4
-
-4-bit NF4 quantized version of [Qwen-Image-Edit-2511](https://huggingface.co/Qwen/Qwen-Image-Edit-2511) using BitsAndBytes.
-
-This quantized model significantly reduces VRAM requirements, making it accessible on consumer GPUs like RTX 3090/4080/4090.
-
-## Sample Outputs
-
-### Single Image Editing
-
-<table>
-<tr>
-<th>Input</th>
-<th>Prompt</th>
-<th>Output</th>
-</tr>
-<tr>
-<td><img src="samples/inputs/cat.jpg" width="200"></td>
-<td>"A cat wearing stylish sunglasses"</td>
-<td><img src="samples/cat_sunglasses.png" width="200"></td>
-</tr>
-<tr>
-<td><img src="samples/inputs/portrait.jpg" width="200"></td>
-<td>"Cyberpunk style with neon lights"</td>
-<td><img src="samples/portrait_cyberpunk.png" width="200"></td>
-</tr>
-</table>
-
-### Multi-Image Editing
-
-Combine multiple images into one coherent scene:
-
-<table>
-<tr>
-<th>Input 1</th>
-<th>Input 2</th>
-<th>Prompt</th>
-<th>Output</th>
-</tr>
-<tr>
-<td><img src="samples/inputs/cat.jpg" width="150"></td>
-<td><img src="samples/inputs/mountain.jpg" width="150"></td>
-<td>"A cat sitting on a mountain cliff"</td>
-<td><img src="samples/multi_cat_mountain.png" width="200"></td>
-</tr>
-<tr>
-<td><img src="samples/inputs/portrait.jpg" width="150"></td>
-<td><img src="samples/inputs/mountain.jpg" width="150"></td>
-<td>"Person hiking in the mountains"</td>
-<td><img src="samples/multi_portrait_mountain.png" width="200"></td>
-</tr>
-</table>
-
-### Style Transfer
-
-<table>
-<tr>
-<th>Input</th>
-<th>Style</th>
-<th>Output</th>
-</tr>
-<tr>
-<td><img src="samples/inputs/mountain.jpg" width="200"></td>
-<td>Studio Ghibli</td>
-<td><img src="samples/mountain_ghibli.png" width="200"></td>
-</tr>
-<tr>
-<td><img src="samples/inputs/mountain.jpg" width="200"></td>
-<td>Winter + Northern Lights</td>
-<td><img src="samples/mountain_winter.png" width="200"></td>
-</tr>
-</table>
-
-## Features
-
-- **Reduced VRAM**: ~17GB vs ~40GB (original BF16)
-- **Same capabilities**: Single/multi-image editing, style transfer, character consistency
-- **BitsAndBytes NF4**: High-quality 4-bit quantization
-
-## Requirements
-
-```bash
-pip install torch diffusers transformers accelerate bitsandbytes
-```
-
-## Usage
-
-```python
-import torch
-from PIL import Image
-from diffusers import QwenImageEditPlusPipeline
-
-# Load quantized model
-pipe = QwenImageEditPlusPipeline.from_pretrained(
-    "seochan99/Qwen-Image-Edit-2511-bnb-nf4",
-    torch_dtype=torch.bfloat16,
-)
-pipe.to("cuda")
-
-# Single image editing
-image = Image.open("input.png")
-result = pipe(
-    image=[image],
-    prompt="Turn this into anime style",
-    true_cfg_scale=4.0,
-    negative_prompt=" ",
-    num_inference_steps=50,
-).images[0]
-result.save("output.png")
-```
-
-## Multi-Image Editing
-
-Combine two images into one coherent scene:
-
-```python
-img1 = Image.open("person.png")
-img2 = Image.open("background.png")
-
-result = pipe(
-    image=[img1, img2],
-    prompt="Person standing in the forest, natural lighting",
-    true_cfg_scale=4.0,
-    negative_prompt=" ",
-    num_inference_steps=50,
-).images[0]
-```
-
-## VRAM Comparison
-
-| Version | VRAM Usage |
-|---------|------------|
-| Original (BF16) | ~40GB |
-| **This (NF4 4-bit)** | **~17GB** |
-
-Tested on NVIDIA RTX 4090.
-
-## Quantization Details
-
-- **Method**: BitsAndBytes NF4 (4-bit Normal Float)
-- **Compute dtype**: bfloat16
-- **Components quantized**: text_encoder, transformer
-
-## Model Info
-
-- **Base model**: [Qwen/Qwen-Image-Edit-2511](https://huggingface.co/Qwen/Qwen-Image-Edit-2511)
-- **Paper**: [arXiv:2508.02324](https://arxiv.org/abs/2508.02324)
-- **Original repo**: [QwenLM/Qwen-Image](https://github.com/QwenLM/Qwen-Image)
-
-## License
-
-Apache 2.0 (same as base model)

Qwen-Image-Edit-2511-bnb-nf4/model_index.json

@@ -1,29 +0,0 @@
-{
-  "_class_name": "QwenImageEditPlusPipeline",
-  "_diffusers_version": "0.37.0.dev0",
-  "_name_or_path": "Qwen/Qwen-Image-Edit-2511",
-  "processor": [
-    "transformers",
-    "Qwen2VLProcessor"
-  ],
-  "scheduler": [
-    "diffusers",
-    "FlowMatchEulerDiscreteScheduler"
-  ],
-  "text_encoder": [
-    "transformers",
-    "Qwen2_5_VLForConditionalGeneration"
-  ],
-  "tokenizer": [
-    "transformers",
-    "Qwen2Tokenizer"
-  ],
-  "transformer": [
-    "diffusers",
-    "QwenImageTransformer2DModel"
-  ],
-  "vae": [
-    "diffusers",
-    "AutoencoderKLQwenImage"
-  ]
-}

Qwen-Image-Edit-2511-bnb-nf4/processor/added_tokens.json

@@ -1,24 +0,0 @@
-{
-  "</tool_call>": 151658,
-  "<tool_call>": 151657,
-  "<|box_end|>": 151649,
-  "<|box_start|>": 151648,
-  "<|endoftext|>": 151643,
-  "<|file_sep|>": 151664,
-  "<|fim_middle|>": 151660,
-  "<|fim_pad|>": 151662,
-  "<|fim_prefix|>": 151659,
-  "<|fim_suffix|>": 151661,
-  "<|im_end|>": 151645,
-  "<|im_start|>": 151644,
-  "<|image_pad|>": 151655,
-  "<|object_ref_end|>": 151647,
-  "<|object_ref_start|>": 151646,
-  "<|quad_end|>": 151651,
-  "<|quad_start|>": 151650,
-  "<|repo_name|>": 151663,
-  "<|video_pad|>": 151656,
-  "<|vision_end|>": 151653,
-  "<|vision_pad|>": 151654,
-  "<|vision_start|>": 151652
-}

Qwen-Image-Edit-2511-bnb-nf4/processor/chat_template.jinja

@@ -1,7 +0,0 @@
-{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
-You are a helpful assistant.<|im_end|>
-{% endif %}<|im_start|>{{ message['role'] }}
-{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
-{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
-{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
-{% endif %}

Qwen-Image-Edit-2511-bnb-nf4/processor/preprocessor_config.json

@@ -1,39 +0,0 @@
-{
-  "crop_size": null,
-  "data_format": "channels_first",
-  "default_to_square": true,
-  "device": null,
-  "disable_grouping": null,
-  "do_center_crop": null,
-  "do_convert_rgb": true,
-  "do_normalize": true,
-  "do_pad": null,
-  "do_rescale": true,
-  "do_resize": true,
-  "image_mean": [
-    0.48145466,
-    0.4578275,
-    0.40821073
-  ],
-  "image_processor_type": "Qwen2VLImageProcessorFast",
-  "image_std": [
-    0.26862954,
-    0.26130258,
-    0.27577711
-  ],
-  "input_data_format": null,
-  "max_pixels": 12845056,
-  "merge_size": 2,
-  "min_pixels": 3136,
-  "pad_size": null,
-  "patch_size": 14,
-  "processor_class": "Qwen2VLProcessor",
-  "resample": 3,
-  "rescale_factor": 0.00392156862745098,
-  "return_tensors": null,
-  "size": {
-    "longest_edge": 12845056,
-    "shortest_edge": 3136
-  },
-  "temporal_patch_size": 2
-}

Qwen-Image-Edit-2511-bnb-nf4/processor/special_tokens_map.json

@@ -1,31 +0,0 @@
-{
-  "additional_special_tokens": [
-    "<|im_start|>",
-    "<|im_end|>",
-    "<|object_ref_start|>",
-    "<|object_ref_end|>",
-    "<|box_start|>",
-    "<|box_end|>",
-    "<|quad_start|>",
-    "<|quad_end|>",
-    "<|vision_start|>",
-    "<|vision_end|>",
-    "<|vision_pad|>",
-    "<|image_pad|>",
-    "<|video_pad|>"
-  ],
-  "eos_token": {
-    "content": "<|im_end|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
-}

Qwen-Image-Edit-2511-bnb-nf4/processor/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
-size 11421896

Qwen-Image-Edit-2511-bnb-nf4/processor/tokenizer_config.json

@@ -1,208 +0,0 @@
-{
-  "add_bos_token": false,
-  "add_prefix_space": false,
-  "added_tokens_decoder": {
-    "151643": {
-      "content": "<|endoftext|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151644": {
-      "content": "<|im_start|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151645": {
-      "content": "<|im_end|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151646": {
-      "content": "<|object_ref_start|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151647": {
-      "content": "<|object_ref_end|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151648": {
-      "content": "<|box_start|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151649": {
-      "content": "<|box_end|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151650": {
-      "content": "<|quad_start|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151651": {
-      "content": "<|quad_end|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151652": {
-      "content": "<|vision_start|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151653": {
-      "content": "<|vision_end|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151654": {
-      "content": "<|vision_pad|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151655": {
-      "content": "<|image_pad|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151656": {
-      "content": "<|video_pad|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": true
-    },
-    "151657": {
-      "content": "<tool_call>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151658": {
-      "content": "</tool_call>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151659": {
-      "content": "<|fim_prefix|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151660": {
-      "content": "<|fim_middle|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151661": {
-      "content": "<|fim_suffix|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151662": {
-      "content": "<|fim_pad|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151663": {
-      "content": "<|repo_name|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    },
-    "151664": {
-      "content": "<|file_sep|>",
-      "lstrip": false,
-      "normalized": false,
-      "rstrip": false,
-      "single_word": false,
-      "special": false
-    }
-  },
-  "additional_special_tokens": [
-    "<|im_start|>",
-    "<|im_end|>",
-    "<|object_ref_start|>",
-    "<|object_ref_end|>",
-    "<|box_start|>",
-    "<|box_end|>",
-    "<|quad_start|>",
-    "<|quad_end|>",
-    "<|vision_start|>",
-    "<|vision_end|>",
-    "<|vision_pad|>",
-    "<|image_pad|>",
-    "<|video_pad|>"
-  ],
-  "bos_token": null,
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "<|im_end|>",
-  "errors": "replace",
-  "extra_special_tokens": {},
-  "model_max_length": 131072,
-  "pad_token": "<|endoftext|>",
-  "processor_class": "Qwen2VLProcessor",
-  "split_special_tokens": false,
-  "tokenizer_class": "Qwen2Tokenizer",
-  "unk_token": null
-}

Qwen-Image-Edit-2511-bnb-nf4/processor/video_preprocessor_config.json

@@ -1,43 +0,0 @@
-{
-  "crop_size": null,
-  "data_format": "channels_first",
-  "default_to_square": true,
-  "device": null,
-  "do_center_crop": null,
-  "do_convert_rgb": true,
-  "do_normalize": true,
-  "do_rescale": true,
-  "do_resize": true,
-  "do_sample_frames": false,
-  "fps": null,
-  "image_mean": [
-    0.48145466,
-    0.4578275,
-    0.40821073
-  ],
-  "image_std": [
-    0.26862954,
-    0.26130258,
-    0.27577711
-  ],
-  "input_data_format": null,
-  "max_frames": 768,
-  "max_pixels": 12845056,
-  "merge_size": 2,
-  "min_frames": 4,
-  "min_pixels": 3136,
-  "num_frames": null,
-  "pad_size": null,
-  "patch_size": 14,
-  "processor_class": "Qwen2VLProcessor",
-  "resample": 3,
-  "rescale_factor": 0.00392156862745098,
-  "return_metadata": false,
-  "size": {
-    "longest_edge": 12845056,
-    "shortest_edge": 3136
-  },
-  "temporal_patch_size": 2,
-  "video_metadata": null,
-  "video_processor_type": "Qwen2VLVideoProcessor"
-}