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Browse files- NoobAI-XL-Vpred-v1.0.safetensors +3 -0
- README.md +287 -0
- model_index.json +41 -0
- scheduler/scheduler_config.json +25 -0
- text_encoder/config.json +24 -0
- text_encoder/model.safetensors +3 -0
- text_encoder_2/config.json +24 -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 +72 -0
- unet/diffusion_pytorch_model.safetensors +3 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
NoobAI-XL-Vpred-v1.0.safetensors
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README.md
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---
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license: other
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license_name: fair-ai-public-license-1.0-sd
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license_link: https://freedevproject.org/faipl-1.0-sd/
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language:
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- en
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base_model:
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- Laxhar/noobai-XL-Vpred-0.75
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pipeline_tag: text-to-image
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tags:
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- safetensors
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- diffusers
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- stable-diffusion
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- stable-diffusion-xl
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- art
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- not-for-all-audiences
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library_name: diffusers
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---
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<h1 align="center"><strong style="font-size: 48px;">NoobAI XL V-Pred 1.0</strong></h1>
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# Model Introduction
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This image generation model, based on Laxhar/noobai-XL_v1.0, leverages full Danbooru and e621 datasets with native tags and natural language captioning.
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Implemented as a v-prediction model (distinct from eps-prediction), it requires specific parameter configurations - detailed in following sections.
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Special thanks to my teammate euge for the coding work, and we're grateful for the technical support from many helpful community members.
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# ⚠️ IMPORTANT NOTICE ⚠️
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## **THIS MODEL WORKS DIFFERENT FROM EPS MODELS!**
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## **PLEASE READ THE GUIDE CAREFULLY!**
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## Model Details
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|
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- **Developed by**: [Laxhar Lab](https://huggingface.co/Laxhar)
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- **Model Type**: Diffusion-based text-to-image generative model
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- **Fine-tuned from**: Laxhar/noobai-XL_v1.0
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- **Sponsored by from**: [Lanyun Cloud](https://cloud.lanyun.net)
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|
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---
|
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|
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# How to Use the Model.
|
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|
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## Method I: [reForge](https://github.com/Panchovix/stable-diffusion-webui-reForge/tree/dev_upstream)
|
48 |
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|
49 |
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1. (If you haven't installed reForge) Install reForge by following the instructions in the repository;
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|
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2. Launch WebUI and use the model as usual!
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|
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## Method II: [ComfyUI](https://github.com/comfyanonymous/ComfyUI)
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|
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SAMLPLE with NODES
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|
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[comfy_ui_workflow_sample](/Laxhar/noobai-XL-Vpred-0.5/blob/main/comfy_ui_workflow_sample.png)
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|
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+
|
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## Method III: [WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
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+
|
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Note that dev branch is not stable and **may contain bugs**.
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|
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1. (If you haven't installed WebUI) Install WebUI by following the instructions in the repository. For simp
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65 |
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2. Switch to `dev` branch:
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|
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```bash
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git switch dev
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```
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|
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3. Pull latest updates:
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|
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```bash
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git pull
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```
|
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+
|
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4. Launch WebUI and use the model as usual!
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+
|
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+
## Method IV: [Diffusers](https://huggingface.co/docs/diffusers/en/index)
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+
|
81 |
+
```python
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import torch
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from diffusers import StableDiffusionXLPipeline
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from diffusers import EulerDiscreteScheduler
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|
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ckpt_path = "/path/to/model.safetensors"
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pipe = StableDiffusionXLPipeline.from_single_file(
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ckpt_path,
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89 |
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use_safetensors=True,
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torch_dtype=torch.float16,
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)
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scheduler_args = {"prediction_type": "v_prediction", "rescale_betas_zero_snr": True}
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pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, **scheduler_args)
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pipe.enable_xformers_memory_efficient_attention()
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pipe = pipe.to("cuda")
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prompt = """masterpiece, best quality,artist:john_kafka,artist:nixeu,artist:quasarcake, chromatic aberration, film grain, horror \(theme\), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino \(genshin impact\), black theme, gritty, graphite \(medium\)"""
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negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
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99 |
+
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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width=832,
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height=1216,
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num_inference_steps=28,
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guidance_scale=5,
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generator=torch.Generator().manual_seed(42),
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).images[0]
|
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+
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image.save("output.png")
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```
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+
|
113 |
+
|
114 |
+
**Note**: Please make sure Git is installed and environment is properly configured on your machine.
|
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+
|
116 |
+
---
|
117 |
+
|
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# Recommended Settings
|
119 |
+
|
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## Parameters
|
121 |
+
|
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+
- CFG: 4 ~ 5
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123 |
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- Steps: 28 ~ 35
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- Sampling Method: **Euler** (⚠️ Other samplers will not work properly)
|
125 |
+
- Resolution: Total area around 1024x1024. Best to choose from: 768x1344, **832x1216**, 896x1152, 1024x1024, 1152x896, 1216x832, 1344x768
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+
|
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+
## Prompts
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|
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- Prompt Prefix:
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```
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masterpiece, best quality, newest, absurdres, highres, safe,
|
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+
```
|
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+
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+
- Negative Prompt:
|
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+
|
137 |
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```
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nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro
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+
```
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+
|
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# Usage Guidelines
|
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+
|
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## Caption
|
144 |
+
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```
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<1girl/1boy/1other/...>, <character>, <series>, <artists>, <special tags>, <general tags>, <other tags>
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```
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## Quality Tags
|
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For quality tags, we evaluated image popularity through the following process:
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|
153 |
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- Data normalization based on various sources and ratings.
|
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- Application of time-based decay coefficients according to date recency.
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- Ranking of images within the entire dataset based on this processing.
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|
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Our ultimate goal is to ensure that quality tags effectively track user preferences in recent years.
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| Percentile Range | Quality Tags |
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| :--------------- | :------------- |
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| > 95th | masterpiece |
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| > 85th, <= 95th | best quality |
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| > 60th, <= 85th | good quality |
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| > 30th, <= 60th | normal quality |
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| <= 30th | worst quality |
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+
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## Aesthetic Tags
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| Tag | Description |
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| :-------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| very awa | Top 5% of images in terms of aesthetic score by [waifu-scorer](https://huggingface.co/Eugeoter/waifu-scorer-v4-beta) |
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| worst aesthetic | All the bottom 5% of images in terms of aesthetic score by [waifu-scorer](https://huggingface.co/Eugeoter/waifu-scorer-v4-beta) and [aesthetic-shadow-v2](https://huggingface.co/shadowlilac/aesthetic-shadow-v2) |
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| ... | ... |
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+
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## Date Tags
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There are two types of date tags: **year tags** and **period tags**. For year tags, use `year xxxx` format, i.e., `year 2021`. For period tags, please refer to the following table:
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| Year Range | Period tag |
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| :--------- | :--------- |
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| 2005-2010 | old |
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| 2011-2014 | early |
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| 2014-2017 | mid |
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| 2018-2020 | recent |
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| 2021-2024 | newest |
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## Dataset
|
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|
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- The latest Danbooru images up to the training date (approximately before 2024-10-23)
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- E621 images [e621-2024-webp-4Mpixel](https://huggingface.co/datasets/NebulaeWis/e621-2024-webp-4Mpixel) dataset on Hugging Face
|
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**Communication**
|
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|
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- **QQ Groups:**
|
195 |
+
|
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- 875042008
|
197 |
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- 914818692
|
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- 635772191
|
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+
|
200 |
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- **Discord:** [Laxhar Dream Lab SDXL NOOB](https://discord.com/invite/DKnFjKEEvH)
|
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+
|
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**How to train a LoRA on v-pred SDXL model**
|
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|
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A tutorial is intended for LoRA trainers based on sd-scripts.
|
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|
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article link: https://civitai.com/articles/8723
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|
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**Utility Tool**
|
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|
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Laxhar Lab is training a dedicated ControlNet model for NoobXL, and the models are being released progressively. So far, the normal, depth, and canny have been released.
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Model link: https://civitai.com/models/929685
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|
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# Model License
|
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|
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This model's license inherits from https://huggingface.co/OnomaAIResearch/Illustrious-xl-early-release-v0 fair-ai-public-license-1.0-sd and adds the following terms. Any use of this model and its variants is bound by this license.
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## I. Usage Restrictions
|
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|
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- Prohibited use for harmful, malicious, or illegal activities, including but not limited to harassment, threats, and spreading misinformation.
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- Prohibited generation of unethical or offensive content.
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- Prohibited violation of laws and regulations in the user's jurisdiction.
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## II. Commercial Prohibition
|
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We prohibit any form of commercialization, including but not limited to monetization or commercial use of the model, derivative models, or model-generated products.
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## III. Open Source Community
|
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Hey everyone! Don’t keep the cool stuff to yourself! 🚀
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|
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If you find new tricks, wild art combos, magic prompts, or train fun LoRAs, share them openly!
|
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|
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Post in DC/TG/X/group chats—let’s all grow together.
|
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|
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No more secret models/prompts like the old days.
|
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|
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Open sharing = more fun for all! 💡✨
|
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+
|
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PS: We're not trying to lock things down! Back in the 1.5/n3 days, tons of secret models/prompts popped up (ugh, messy vibes).
|
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|
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Let’s break that cycle! Sharing = faster progress, wilder ideas, and way more hype.
|
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+
|
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No gatekeeping—post your 'secret sauce' in public spaces. Everyone wins!
|
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+
|
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+
|
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To foster a thriving open-source community,users MUST comply with the following requirements:
|
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+
|
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+
- Open source derivative models, merged models, LoRAs, and products based on the above models.
|
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+
- Share work details such as synthesis formulas, prompts, and workflows.
|
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- Follow the fair-ai-public-license to ensure derivative works remain open source.
|
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+
|
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## IV. Disclaimer
|
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+
|
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Generated models may produce unexpected or harmful outputs. Users must assume all risks and potential consequences of usage.
|
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|
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# Participants and Contributors
|
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|
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## Participants
|
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|
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- **L_A_X:** [Civitai](https://civitai.com/user/L_A_X) | [Liblib.art](https://www.liblib.art/userpage/9e1b16538b9657f2a737e9c2c6ebfa69) | [Huggingface](https://huggingface.co/LAXMAYDAY)
|
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- **li_li:** [Civitai](https://civitai.com/user/li_li) | [Huggingface](https://huggingface.co/heziiiii)
|
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- **nebulae:** [Civitai](https://civitai.com/user/kitarz) | [Huggingface](https://huggingface.co/NebulaeWis)
|
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- **Chenkin:** [Civitai](https://civitai.com/user/Chenkin) | [Huggingface](https://huggingface.co/windsingai)
|
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- **Euge:** [Civitai](https://civitai.com/user/Euge_) | [Huggingface](https://huggingface.co/Eugeoter) | [Github](https://github.com/Eugeoter)
|
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|
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## Contributors
|
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|
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- **Narugo1992**: Thanks to [narugo1992](https://github.com/narugo1992) and the [deepghs](https://huggingface.co/deepghs) team for open-sourcing various training sets, image processing tools, and models.
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|
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- **Mikubill**: Thanks to [Mikubill](https://github.com/Mikubill) for the [Naifu](https://github.com/Mikubill/naifu) trainer.
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|
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- **Onommai**: Thanks to [OnommAI](https://onomaai.com/) for open-sourcing a powerful base model.
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275 |
+
- **V-Prediction**: Thanks to the following individuals for their detailed instructions and experiments.
|
276 |
+
|
277 |
+
- adsfssdf
|
278 |
+
- [bluvoll](https://civitai.com/user/bluvoll)
|
279 |
+
- [bvhari](https://github.com/bvhari)
|
280 |
+
- [catboxanon](https://github.com/catboxanon)
|
281 |
+
- [parsee-mizuhashi](https://huggingface.co/parsee-mizuhashi)
|
282 |
+
- [very-aesthetic](https://github.com/very-aesthetic)
|
283 |
+
- [momoura](https://civitai.com/user/momoura)
|
284 |
+
- madmanfourohfour
|
285 |
+
- David
|
286 |
+
|
287 |
+
- **Community**: [aria1th261](https://civitai.com/user/aria1th261), [neggles](https://github.com/neggles/neurosis), [sdtana](https://huggingface.co/sdtana), [chewing](https://huggingface.co/chewing), [irldoggo](https://github.com/irldoggo), [reoe](https://huggingface.co/reoe), [kblueleaf](https://civitai.com/user/kblueleaf), [Yidhar](https://github.com/Yidhar), ageless, 白玲可, Creeper, KaerMorh, 吟游诗人, SeASnAkE, [zwh20081](https://civitai.com/user/zwh20081), Wenaka~喵, 稀里哗啦, 幸运二副, 昨日の約, 445, [EBIX](https://civitai.com/user/EBIX), [Sopp](https://huggingface.co/goyishsoyish), [Y_X](https://civitai.com/user/Y_X), [Minthybasis](https://civitai.com/user/Minthybasis), [Rakosz](https://civitai.com/user/Rakosz)
|
model_index.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "StableDiffusionXLPipeline",
|
3 |
+
"_diffusers_version": "0.31.0",
|
4 |
+
"feature_extractor": [
|
5 |
+
null,
|
6 |
+
null
|
7 |
+
],
|
8 |
+
"force_zeros_for_empty_prompt": true,
|
9 |
+
"image_encoder": [
|
10 |
+
null,
|
11 |
+
null
|
12 |
+
],
|
13 |
+
"scheduler": [
|
14 |
+
"diffusers",
|
15 |
+
"EulerDiscreteScheduler"
|
16 |
+
],
|
17 |
+
"text_encoder": [
|
18 |
+
"transformers",
|
19 |
+
"CLIPTextModel"
|
20 |
+
],
|
21 |
+
"text_encoder_2": [
|
22 |
+
"transformers",
|
23 |
+
"CLIPTextModelWithProjection"
|
24 |
+
],
|
25 |
+
"tokenizer": [
|
26 |
+
"transformers",
|
27 |
+
"CLIPTokenizer"
|
28 |
+
],
|
29 |
+
"tokenizer_2": [
|
30 |
+
"transformers",
|
31 |
+
"CLIPTokenizer"
|
32 |
+
],
|
33 |
+
"unet": [
|
34 |
+
"diffusers",
|
35 |
+
"UNet2DConditionModel"
|
36 |
+
],
|
37 |
+
"vae": [
|
38 |
+
"diffusers",
|
39 |
+
"AutoencoderKL"
|
40 |
+
]
|
41 |
+
}
|
scheduler/scheduler_config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "EulerDiscreteScheduler",
|
3 |
+
"_diffusers_version": "0.31.0",
|
4 |
+
"beta_end": 0.012,
|
5 |
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"beta_schedule": "scaled_linear",
|
6 |
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"beta_start": 0.00085,
|
7 |
+
"clip_sample": false,
|
8 |
+
"final_sigmas_type": "zero",
|
9 |
+
"interpolation_type": "linear",
|
10 |
+
"num_train_timesteps": 1000,
|
11 |
+
"prediction_type": "epsilon",
|
12 |
+
"rescale_betas_zero_snr": false,
|
13 |
+
"sample_max_value": 1.0,
|
14 |
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"set_alpha_to_one": false,
|
15 |
+
"sigma_max": null,
|
16 |
+
"sigma_min": null,
|
17 |
+
"skip_prk_steps": true,
|
18 |
+
"steps_offset": 1,
|
19 |
+
"timestep_spacing": "leading",
|
20 |
+
"timestep_type": "discrete",
|
21 |
+
"trained_betas": null,
|
22 |
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"use_beta_sigmas": false,
|
23 |
+
"use_exponential_sigmas": false,
|
24 |
+
"use_karras_sigmas": false
|
25 |
+
}
|
text_encoder/config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"CLIPTextModel"
|
4 |
+
],
|
5 |
+
"attention_dropout": 0.0,
|
6 |
+
"bos_token_id": 0,
|
7 |
+
"dropout": 0.0,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "quick_gelu",
|
10 |
+
"hidden_size": 768,
|
11 |
+
"initializer_factor": 1.0,
|
12 |
+
"initializer_range": 0.02,
|
13 |
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"intermediate_size": 3072,
|
14 |
+
"layer_norm_eps": 1e-05,
|
15 |
+
"max_position_embeddings": 77,
|
16 |
+
"model_type": "clip_text_model",
|
17 |
+
"num_attention_heads": 12,
|
18 |
+
"num_hidden_layers": 12,
|
19 |
+
"pad_token_id": 1,
|
20 |
+
"projection_dim": 768,
|
21 |
+
"torch_dtype": "float16",
|
22 |
+
"transformers_version": "4.45.1",
|
23 |
+
"vocab_size": 49408
|
24 |
+
}
|
text_encoder/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0580de479d979c217e6bc07399e9311e8d681b3a7dc6548b6a41e2ee673bbe40
|
3 |
+
size 246144152
|
text_encoder_2/config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"CLIPTextModelWithProjection"
|
4 |
+
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|
5 |
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|
6 |
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|
7 |
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|
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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"model_type": "clip_text_model",
|
17 |
+
"num_attention_heads": 20,
|
18 |
+
"num_hidden_layers": 32,
|
19 |
+
"pad_token_id": 1,
|
20 |
+
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|
21 |
+
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|
22 |
+
"transformers_version": "4.45.1",
|
23 |
+
"vocab_size": 49408
|
24 |
+
}
|
text_encoder_2/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:6d594c7736feb8ca106cc0cd85e4ca5c5bc56170c5942a0e30903754142ec6c4
|
3 |
+
size 1389382176
|
tokenizer/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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"rstrip": false,
|
14 |
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"single_word": false
|
15 |
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},
|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer/tokenizer_config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
+
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
+
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|
28 |
+
"tokenizer_class": "CLIPTokenizer",
|
29 |
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"unk_token": "<|endoftext|>"
|
30 |
+
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|
tokenizer/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_2/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_2/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
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|
|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
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|
10 |
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|
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|
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer_2/tokenizer_config.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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{
|
2 |
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|
3 |
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"added_tokens_decoder": {
|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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"special": true
|
11 |
+
},
|
12 |
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|
13 |
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|
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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"special": true
|
19 |
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|
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|
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|
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|
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|
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|
25 |
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|
26 |
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|
27 |
+
}
|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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"tokenizer_class": "CLIPTokenizer",
|
37 |
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|
38 |
+
}
|
tokenizer_2/vocab.json
ADDED
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See raw diff
|
|
unet/config.json
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
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|
|
|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "UNet2DConditionModel",
|
3 |
+
"_diffusers_version": "0.31.0",
|
4 |
+
"act_fn": "silu",
|
5 |
+
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|
6 |
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|
7 |
+
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|
8 |
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|
9 |
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|
10 |
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|
11 |
+
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|
12 |
+
],
|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
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|
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|
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|
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|
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|
23 |
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|
24 |
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|
25 |
+
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|
26 |
+
"down_block_types": [
|
27 |
+
"DownBlock2D",
|
28 |
+
"CrossAttnDownBlock2D",
|
29 |
+
"CrossAttnDownBlock2D"
|
30 |
+
],
|
31 |
+
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
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unet/diffusion_pytorch_model.safetensors
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vae/config.json
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|
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|
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|
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|
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