From 239d3ddb687dd2726607d009922b2ceb2bf1acd6 Mon Sep 17 00:00:00 2001 From: Haoming Date: Fri, 25 Jul 2025 19:42:57 +0800 Subject: [PATCH] "init" --- README.md | 214 +-------------------------------- modules_forge/forge_version.py | 2 +- 2 files changed, 2 insertions(+), 214 deletions(-) diff --git a/README.md b/README.md index 3d0d202a..dcc4bf06 100644 --- a/README.md +++ b/README.md @@ -1,213 +1 @@ -# Stable Diffusion WebUI Forge - -Stable Diffusion WebUI Forge is a platform on top of [Stable Diffusion WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) (based on [Gradio](https://www.gradio.app/) ) to make development easier, optimize resource management, speed up inference, and study experimental features. - -The name "Forge" is inspired from "Minecraft Forge". This project is aimed at becoming SD WebUI's Forge. - -Forge is currently based on SD-WebUI 1.10.1 at [this commit](https://github.com/AUTOMATIC1111/stable-diffusion-webui/commit/82a973c04367123ae98bd9abdf80d9eda9b910e2). (Because original SD-WebUI is almost static now, Forge will sync with original WebUI every 90 days, or when important fixes.) - -News are moved to this link: [Click here to see the News section](https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/main/NEWS.md) - -# Quick List - -[Gradio 4 UI Must Read (TLDR: You need to use RIGHT MOUSE BUTTON to move canvas!)](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/853) - -[Flux Tutorial (BitsandBytes Models, NF4, "GPU Weight", "Offload Location", "Offload Method", etc)](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/981) - -[Flux Tutorial 2 (Seperated Full Models, GGUF, Technically Correct Comparison between GGUF and NF4, etc)](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1050) - -[Forge Extension List and Extension Replacement List (Temporary)](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1754) - -[How to make LoRAs more precise on low-bit models; How to Skip" Patching LoRAs"; How to only load LoRA one time rather than each generation; How to report LoRAs that do not work](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1038) - -[Report Flux Performance Problems (TLDR: DO NOT set "GPU Weight" too high! Lower "GPU Weight" solves 99% problems!)](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1181) - -[How to solve "Connection errored out" / "Press anykey to continue ..." / etc](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1474) - -[(Save Flux BitsandBytes UNet/Checkpoint)](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1224#discussioncomment-10384104) - -[LayerDiffuse Transparent Image Editing](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/854) - -[Tell us what is missing in ControlNet Integrated](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/932) - -[(Policy) Soft Advertisement Removal Policy](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/1286) - -(Flux BNB NF4 / GGUF Q8_0/Q5_0/Q5_1/Q4_0/Q4_1 are all natively supported with GPU weight slider and Quene/Async Swap toggle and swap location toggle. All Flux BNB NF4 / GGUF Q8_0/Q5_0/Q4_0 have LoRA support.) - -# Installing Forge - -**Just use this one-click installation package (with git and python included).** - -[>>> Click Here to Download One-Click Package (CUDA 12.1 + Pytorch 2.3.1) <<<](https://github.com/lllyasviel/stable-diffusion-webui-forge/releases/download/latest/webui_forge_cu121_torch231.7z) - -Some other CUDA/Torch Versions: - -[Forge with CUDA 12.1 + Pytorch 2.3.1](https://github.com/lllyasviel/stable-diffusion-webui-forge/releases/download/latest/webui_forge_cu121_torch231.7z) <- **Recommended** - -[Forge with CUDA 12.4 + Pytorch 2.4](https://github.com/lllyasviel/stable-diffusion-webui-forge/releases/download/latest/webui_forge_cu124_torch24.7z) <- **Fastest**, but MSVC may be broken, xformers may not work - -[Forge with CUDA 12.1 + Pytorch 2.1](https://github.com/lllyasviel/stable-diffusion-webui-forge/releases/download/latest/webui_forge_cu121_torch21.7z) <- the previously used old environments - -After you download, you uncompress, use `update.bat` to update, and use `run.bat` to run. - -Note that running `update.bat` is important, otherwise you may be using a previous version with potential bugs unfixed. - -![image](https://github.com/lllyasviel/stable-diffusion-webui-forge/assets/19834515/c49bd60d-82bd-4086-9859-88d472582b94) - -### Advanced Install - -If you are proficient in Git and you want to install Forge as another branch of SD-WebUI, please see [here](https://github.com/continue-revolution/sd-webui-animatediff/blob/forge/master/docs/how-to-use.md#you-have-a1111-and-you-know-git). In this way, you can reuse all SD checkpoints and all extensions you installed previously in your OG SD-WebUI, but you should know what you are doing. - -If you know what you are doing, you can also install Forge using same method as SD-WebUI. (Install Git, Python, Git Clone the forge repo `https://github.com/lllyasviel/stable-diffusion-webui-forge.git` and then run webui-user.bat). - -### Previous Versions - -You can download previous versions [here](https://github.com/lllyasviel/stable-diffusion-webui-forge/discussions/849). - -# Forge Status - -Based on manual test one-by-one: - -| Component | Status | Last Test | -|-----------------------------------------------------|---------------------------------------------|--------------| -| Basic Diffusion | Normal | 2024 Aug 26 | -| GPU Memory Management System | Normal | 2024 Aug 26 | -| LoRAs | Normal | 2024 Aug 26 | -| All Preprocessors | Normal | 2024 Aug 26 | -| All ControlNets | Normal | 2024 Aug 26 | -| All IP-Adapters | Normal | 2024 Aug 26 | -| All Instant-IDs | Normal | 2024 July 27 | -| All Reference-only Methods | Normal | 2024 July 27 | -| All Integrated Extensions | Normal | 2024 July 27 | -| Popular Extensions (Adetailer, etc) | Normal | 2024 July 27 | -| Gradio 4 UIs | Normal | 2024 July 27 | -| Gradio 4 Forge Canvas | Normal | 2024 Aug 26 | -| LoRA/Checkpoint Selection UI for Gradio 4 | Normal | 2024 July 27 | -| Photopea/OpenposeEditor/etc for ControlNet | Normal | 2024 July 27 | -| Wacom 128 level touch pressure support for Canvas | Normal | 2024 July 15 | -| Microsoft Surface touch pressure support for Canvas | Broken, pending fix | 2024 July 29 | -| ControlNets (Union) | Not implemented yet, pending implementation | 2024 Aug 26 | -| ControlNets (Flux) | Not implemented yet, pending implementation | 2024 Aug 26 | -| API endpoints (txt2img, img2img, etc) | Normal, but pending improved Flux support | 2024 Aug 29 | -| OFT LoRAs | Broken, pending fix | 2024 Sep 9 | - -Feel free to open issue if anything is broken and I will take a look every several days. If I do not update this "Forge Status" then it means I cannot reproduce any problem. In that case, fresh re-install should help most. - -# UnetPatcher - -Below are self-supported **single file** of all codes to implement FreeU V2. - -See also `extension-builtin/sd_forge_freeu/scripts/forge_freeu.py`: - -```python -import torch -import gradio as gr - -from modules import scripts - - -def Fourier_filter(x, threshold, scale): - # FFT - x_freq = torch.fft.fftn(x.float(), dim=(-2, -1)) - x_freq = torch.fft.fftshift(x_freq, dim=(-2, -1)) - - B, C, H, W = x_freq.shape - mask = torch.ones((B, C, H, W), device=x.device) - - crow, ccol = H // 2, W // 2 - mask[..., crow - threshold:crow + threshold, ccol - threshold:ccol + threshold] = scale - x_freq = x_freq * mask - - # IFFT - x_freq = torch.fft.ifftshift(x_freq, dim=(-2, -1)) - x_filtered = torch.fft.ifftn(x_freq, dim=(-2, -1)).real - - return x_filtered.to(x.dtype) - - -def patch_freeu_v2(unet_patcher, b1, b2, s1, s2): - model_channels = unet_patcher.model.diffusion_model.config["model_channels"] - scale_dict = {model_channels * 4: (b1, s1), model_channels * 2: (b2, s2)} - on_cpu_devices = {} - - def output_block_patch(h, hsp, transformer_options): - scale = scale_dict.get(h.shape[1], None) - if scale is not None: - hidden_mean = h.mean(1).unsqueeze(1) - B = hidden_mean.shape[0] - hidden_max, _ = torch.max(hidden_mean.view(B, -1), dim=-1, keepdim=True) - hidden_min, _ = torch.min(hidden_mean.view(B, -1), dim=-1, keepdim=True) - hidden_mean = (hidden_mean - hidden_min.unsqueeze(2).unsqueeze(3)) / (hidden_max - hidden_min).unsqueeze(2).unsqueeze(3) - - h[:, :h.shape[1] // 2] = h[:, :h.shape[1] // 2] * ((scale[0] - 1) * hidden_mean + 1) - - if hsp.device not in on_cpu_devices: - try: - hsp = Fourier_filter(hsp, threshold=1, scale=scale[1]) - except: - print("Device", hsp.device, "does not support the torch.fft.") - on_cpu_devices[hsp.device] = True - hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device) - else: - hsp = Fourier_filter(hsp.cpu(), threshold=1, scale=scale[1]).to(hsp.device) - - return h, hsp - - m = unet_patcher.clone() - m.set_model_output_block_patch(output_block_patch) - return m - - -class FreeUForForge(scripts.Script): - sorting_priority = 12 # It will be the 12th item on UI. - - def title(self): - return "FreeU Integrated" - - def show(self, is_img2img): - # make this extension visible in both txt2img and img2img tab. - return scripts.AlwaysVisible - - def ui(self, *args, **kwargs): - with gr.Accordion(open=False, label=self.title()): - freeu_enabled = gr.Checkbox(label='Enabled', value=False) - freeu_b1 = gr.Slider(label='B1', minimum=0, maximum=2, step=0.01, value=1.01) - freeu_b2 = gr.Slider(label='B2', minimum=0, maximum=2, step=0.01, value=1.02) - freeu_s1 = gr.Slider(label='S1', minimum=0, maximum=4, step=0.01, value=0.99) - freeu_s2 = gr.Slider(label='S2', minimum=0, maximum=4, step=0.01, value=0.95) - - return freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2 - - def process_before_every_sampling(self, p, *script_args, **kwargs): - # This will be called before every sampling. - # If you use highres fix, this will be called twice. - - freeu_enabled, freeu_b1, freeu_b2, freeu_s1, freeu_s2 = script_args - - if not freeu_enabled: - return - - unet = p.sd_model.forge_objects.unet - - unet = patch_freeu_v2(unet, freeu_b1, freeu_b2, freeu_s1, freeu_s2) - - p.sd_model.forge_objects.unet = unet - - # Below codes will add some logs to the texts below the image outputs on UI. - # The extra_generation_params does not influence results. - p.extra_generation_params.update(dict( - freeu_enabled=freeu_enabled, - freeu_b1=freeu_b1, - freeu_b2=freeu_b2, - freeu_s1=freeu_s1, - freeu_s2=freeu_s2, - )) - - return -``` - -See also [Forge's Unet Implementation](https://github.com/lllyasviel/stable-diffusion-webui-forge/blob/main/backend/nn/unet.py). - -# Under Construction - -WebUI Forge is now under some constructions, and docs / UI / functionality may change with updates. +

W.I.P

diff --git a/modules_forge/forge_version.py b/modules_forge/forge_version.py index 17c8a29f..6032f831 100644 --- a/modules_forge/forge_version.py +++ b/modules_forge/forge_version.py @@ -1 +1 @@ -version = '2.0.1v1.10.1' +version = "neo"