ComfyUI Workflows
Browse real AI workflows from Flux, SDXL, Pony, ControlNet, video generation and commercial AI creators.
ComfyUI beginner friendly HiDream 01 Text-to-Image Workflow with Easy Prompt Saver by Sarcastic TOFU
This is a very simple workflow that helps you to save your HiDream 01 Text to Image Generation Data into a human readable .txt file. This will automatically get and write your metadata to the .txt file. You will find all the saved prompt files that it generated with the images inside the Archive (.Zip) that has the workflow. Also with the Image Saver Simple node used here you may embed the workflow itself with each saved image or save the image and workflow for your work separately.HiDream.ai was founded in 2023 by Dr. Mei Jianxiong, a prominent Chinese AI researcher and former expert at Baidu and Kingsoft, with the goal of creating advanced generative AI models for design and creativity. The HiDream-O1-Image open-source models were just released on May 8, 2026. The HiDream 01 architecture functions as a multimodal generative model that interprets natural language text prompts and translates them into highly detailed visual assets. It utilizes deep diffusion network technology to iteratively refine random noise into structured images based on the semantic meaning of your instructions. By analyzing vast datasets of paired text and imagery, the system predicts exactly where pixels should align to match your desired style, composition, and lighting effects.You can download your necessary model file used in this workflow from HuggingFace and LORA from CivitAI (Details are mentioned below). Make sure you have latest enough ComfyUI installation and install any necessary nodes for for this workflow using ComfyUI manager and place the correct files in correct places. Also check out my other workflows for SD 1.5 + SDXL 1.0, Pony, WAN 2.1, WAN 2.2, MagicWAN Image v2, QWEN, HunyuanImage-2.1, HiDream E, Ernie Image, KREA, Chroma, AuraFlow, NoobAI, Illustrious, Lumina2, Z-Image Turbo, Flux.2 Klein 9B & 4B, Flux.1 Dev and Kandinsky Image 5 Lite (T2I & I2I) models. Feel free to toss some yellow Buzz on stuffs you like.How to use this -#1. Just select your desired HiDream 01 model files first and#2. set your desired image dimensions to start#3. then input your desired image prompt.#4. select how many images you want (Change the number besides the "Run" button)#5. select image sampling methods, CFG, steps etc. settings#6. finally press the run button to generate. That's it..** LORA usage for this workflow is optional you can use it without any LORAs, use with 1 or 2 or any other number of LORAs, to add new LORAs press the L button on top to lunch LORA Manager on a new tab find your LORA and if you want to use that LORA just click the upward Kite button.Required Files============### Download Link for HiDream 01 models -++++++++++++++++++++++++++++++++++This HuggingFace page has all the HiDream 01 model (base & dev) files. By design from very inception of HiDream 01, it's image generation/editing process uses just a single any of of these all in one checkpoint files.. so you may download and use just one file from here for this workflow. https://huggingface.co/Comfy-Org/HiDream-O1-Image/tree/main/checkpointsI have used the fp8 scaled safetensors file for the HiDream 01 base ( hidream_o1_image_fp8_scaled ) for this workflow which is perfect for any 8GB VRAM GPU, if you have 16 GB or higher VRAM GPU you may use the bigger bf16 file.Also, You may use any external prompt enhancer like ComfyUI's default examples for base & dev models have shown if you know how to modify ComfyUI workflows, but for simplicity I opted not to use any prompt enhancer.LORA used on generated images -+++++++++++++++++++++++++++HiDream O1 - noir lighting style -https://civitai.com/models/2647859/hidream-o1-noir-lighting-style?modelVersionId=2973135
HiDream Pro Grade Workflow (Full, Fast, GGUF)
Note: I spend a lot of time on these to make sure they are top notch. If you have ANY issues, I'm very responsive. hit me up and I'll resolve them for you.This is a V1 version. I do not know this model or how it gets used. Please let me know what you woudl liek to see or need, or better yet, what settings youa re used to using as I am clueless on this oneInstagram: https://www.instagram.com/synth.studio.models/Buy me aโ https://ko-fi.com/lonecatoneThis represents many of hours of work. If you enjoy it, please ๐like, ๐ฌ comment , and feel free to โกtip ๐ไนๆไธญๆ่ฏดๆThis is an all in one workflow:I2I with prompt generationi2I manipulationStyle manipulationCan use the Full, Fast, or GGUF models without having to rewire or change anythingSage Attention: Speeds up productionAdvanced Clowshark KSamplerUltimate upscaler: For prescale and hi-res fixDetailers: Face, eyes, hand, expressionSeed VR2 Upscaler: Get up to 4k pics, even on low VRAMPost production suite: My pride and joy. Does everything.Does NSFWUses standard nodes so you don't have to download one that someone stole from Sam Shark (Res4lyf) and renamed.
HiDream-O1 Dev 2604 + Z-Image-Turbo (Refiner)
HiDream Meets ZITA dual pass workflow for HiDream-O1 Image Dev 2604 with a refinement pass of Z-Image-TurboREQUIRES:REBELS HiDream-O1 Custom Node Sethttps://github.com/RealRebelAI/Rebels_HiDream-01_Image_Dev_NODESHiDream-O1 Image Dev 2604 (GGUF)https://civitai.com/models/2611889/rebels-hidream-01-image-dev-dev-2604Z-Image-Turbo (bf16)https://civitai.com/models/2169770/rebels-z-image-turbo-fp8bf16Runs 38 steps on hidream and then the second pass of zit runs 4 steps at a denoise of 0.35 to refine details missing in the dev model and clean up artifacting.
Rebels HiDream-01 Image Dev + Dev 2604
USE VERSION 4! UPDATE NODES!SUPPORTS IMAGE DEV 2604 (Link Below)๐ Key FeaturesMulti-Reference Editing: Inject up to 4 reference images to guide your generations.Integrated LoRA Stack: Manage up to 4 LoRAs with fingerprint-based no-op detection.Advanced Seam Smoothing: Built-in "Patch Model Smoothing" logic to fix bad tiling and textures.Expanded Sampler Support: Full flexibility with native ComfyUI samplers and schedulers.Seam Visualizer: Heatmap-based analysis to monitor and perfect generation consistency.To UPDATE the nodes (if you already have them):open a command prompt in the "Rebels_HiDream_01_Image_dev_NODES" folder.run the command "git pull" to update the nodes.then restart comfy and drag the workflow into comfy!Youtube video tutorial to UPDATE:https://youtu.be/iRo-S9oxGe8?si=tSBfVWDgEDqkeVfoREAD THE ENTIRE DESCRIPTION SO YOU DONT MISS A STEP.node set to run the HiDream-01 Image Dev GGUF from smthem and the comfy-org bf16 modelRebel HiDream-O1 Image Dev (bf16 and GGUF Nodes for ComfyUI)Created by Rebel AIThis repository provides custom ComfyUI nodes to run HiDream-O1-Image-Dev GGUF models locally.HiDream-O1 is a VAE-less, Pixel-Level Unified Transformer. Because it generates raw pixels token-by-token at massive resolutions, running it locally requires careful memory management. These nodes feature upfront dequantization (converting GGUF weights to native PyTorch tensors in system RAM during the load phase) to completely bypass NumPy single-threaded CPU bottlenecks during generation, allowing your GPU to run at maximum efficiency.๐ฆ PrerequisitesBefore installing the custom nodes, you need the upstream model code and the weights.Clone the Upstream HiDream-O1 Repo:REQUIRED. NO EXCEPTIONS. WORKFLOW WILL NOT RUN.The nodes rely on the official pipeline logic. Clone this anywhere on your local system:git clone https://github.com/HiDream-ai/HiDream-O1-Image.gitNEW DEV 2604 MODEL (BF16 + GGUF)Download the bf16 OR gguf Model:https://huggingface.co/smthem/HiDream-O1-Image-Dev/tree/mainREGULAR IMAGE DEV FILESDownload the bf16 Model:https://huggingface.co/Comfy-Org/HiDream-O1-Image/tree/main/checkpointsPlace the bf16 file in CHECKPOINTS: ComfyUI/models/checkpoints/Download the GGUF Model:https://huggingface.co/smthem/HiDream-O1-Image-Dev/blob/main/HiDream-O1-Image-Dev-Q6_K.ggufPlace the .gguf file in DIFFUSION_MODELS: ComfyUI/models/diffusion_models/๐ ๏ธ InstallationOption 1: ComfyUI Windows PortableNote: Ensure your ComfyUI portable installation is located on a strict local system drive (e.g., C:\ or D:\). Do not install or run these nodes from a OneDrive-synced folder, as it will cause virtual environment and pathing errors.Open a command prompt and navigate to your portable custom nodes directory:cd \ComfyUI_windows_portable\ComfyUI\custom_nodesClone this repository:git clone https://github.com/RealRebelAI/Rebels_HiDream-01_Image_Dev_NODESInstall the requirements using the embedded Python environment:cd Rebels_HiDream_01_Image_Dev_NODES"..\..\..\python_embeded\python.exe" -m pip install -r requirements.txtOption 2: Desktop / Standard Python EnvironmentNavigate to your ComfyUI custom nodes directory and lone this repository:cd ComfyUI/custom_nodesgit clone https://github.com/RealRebelAI/Rebels_HiDream-01_Image_Dev_NODESActivate your ComfyUI virtual environment and install the requirements:cd Rebels_HiDream_01_Image_Dev_NODESpip install -r requirements.txt๐งฉ Node DocumentationRebel HiDream-O1 Loader (gguf)Loads the GGUF model and performs upfront dequantization.gguf_name: Select your .gguf model from the diffusion_models folder.tokenizer_path: Default is HiDream-ai/HiDream-O1-Image-Dev. It will automatically fetch the tokenizer config from Hugging Face.upstream_repo_path: The absolute local path to where you cloned the HiDream-O1-Image repository in the prerequisites (e.g., C:\Users\name\HiDream-O1-Image).device: Set to cuda for GPU acceleration.offload:aggressive: Heavily utilizes system RAM offloading (Recommended for 8GB VRAM cards like the RTX 3070).balanced: Standard memory splitting.minimal: Keeps most of the model in VRAM.Note: The loader will hang for a moment at 100% while it unpacks the uint8 GGUF bytes into native PyTorch tensors in your system RAM. This is normal and prevents the CPU from bottlenecking your GPU during the actual generation steps.Rebel HiDream-O1 SamplerConnect the model output from the Loader here.steps: 20-30 is the recommended sweet spot.cfg: Keep at 0.0 Higher CFG combined with heavy styling tags can cause "deep-fried" or crushed-shadow artifacts due to the literal pixel-rendering nature of the model.shift: keep at 1.0. Controls the timestep scheduling curve.scheduler_name:default: Standard sampling.flash: Injects specific noise profiles. Note: The noise_scale_start, noise_scale_end, and noise_clip_std parameters only apply if the scheduler is set to flash.โ ๏ธ Known Limitations & BehaviorsResolution Snapping: HiDream-O1 enforces strict token sequence lengths based on its pre-trained position embeddings. If you input a lower resolution (like 512x512 or 1024x1024), the upstream pipeline will automatically "snap" and force the generation to 2048x2048.Compute Times: Because the model renders a raw 2048x2048 image pixel-by-pixel without a VAE, generation times will be significantly longer than standard latent models (like SDXL or Flux).Prompting Style: Avoid stacking heavy texture tags (e.g., "8k resolution, ultra-detailed, gritty textures") unless you want a heavily illustrated look. For photorealism, use clean, simple photographic terms.๐งฉ Node Documentation (BF16 / Safetensors)Rebel HiDream-O1 Loader (Safetensors)Loads the pure, uncompressed bfloat16 safetensors model directly, preserving 100% of the original mathematical precision to eliminate quantization artifacts.model_name: Select your .safetensors model from the models/checkpoints/ folder.tokenizer_path: Default is HiDream-ai/HiDream-O1-Image-Dev. It will automatically fetch the tokenizer config from Hugging Face.upstream_repo_path: The absolute local path to where you cloned the HiDream-O1-Image repository in the prerequisites (e.g., C:\Users\name\HiDream-O1-Image).device: Set to cuda for GPU acceleration.offload:aggressive: Heavily utilizes system RAM offloading (Recommended for 8GB VRAM cards like the RTX 3070).balanced: Standard memory splitting.minimal: Keeps most of the model in VRAM.Note: The loader will take a moment to memory-map the massive 16.4GB bfloat16 file and balance it across your system RAM and VRAM. Because this workflow uses the native uncompressed weights instead of heavily quantized blocks, the model is much more sensitive to guidance.Rebel HiDream-O1 SamplerConnect the model output from the Loader here.steps: 20-30 is the recommended sweet spot.cfg: Keep at 0.0 Higher CFG combined with heavy styling tags can cause "deep-fried" or crushed-shadow artifacts due to the literal pixel-rendering nature of the model.shift: Keep at 1.0. Controls the timestep scheduling curve, delaying fine-detail rendering to accommodate the massive canvas size.scheduler_name:default: Standard sampling.flash: Injects specific noise profiles. Note: The noise_scale_start, noise_scale_end, and noise_clip_std parameters only apply if the scheduler is set to flash.โ ๏ธ Known Limitations & BehaviorsResolution Snapping: HiDream-O1 enforces strict token sequence lengths based on its pre-trained position embeddings. If you input a lower resolution (like 512x512 or 1024x1024), the upstream pipeline will automatically "snap" and force the generation to 2048x2048.Compute Times: Because the model renders a raw 2048x2048 image pixel-by-pixel without a VAE, generation times will be significantly longer than standard latent models (like SDXL or Flux).Prompting Style: Avoid stacking heavy texture tags (e.g., "8k resolution, ultra-detailed, gritty textures") unless you want a heavily illustrated look. For photorealism, use clean, simple photographic terms.
Rebels HiDream-01-Image
VERSION 3 (please read)๐ Key FeaturesMulti-Reference Editing: Inject up to 4 reference images to guide your generations.Integrated LoRA Stack: Manage up to 4 LoRAs with fingerprint-based no-op detection.Advanced Seam Smoothing: Built-in "Patch Model Smoothing" logic to fix bad tiling and textures.Expanded Sampler Support: Full flexibility with native ComfyUI samplers and schedulers.Seam Visualizer: Heatmap-based analysis to monitor and perfect generation consistency.open a command prompt in the "Rebels_HiDream_01_Image_dev_NODES" folder.run the command "git pull" to update the nodes.then restart comfy and drag the workflow into comfy!Rebel HiDream-O1 Image (bf16 Nodes for ComfyUI)Created by Rebel AIThis repository provides custom ComfyUI nodes to run HiDream-O1-Image models locally.HiDream-O1 is a VAE-less, Pixel-Level Unified Transformer. Because it generates raw pixels token-by-token at massive resolutions, running it locally requires careful memory management. These nodes feature upfront dequantization (converting GGUF weights to native PyTorch tensors in system RAM during the load phase) to completely bypass NumPy single-threaded CPU bottlenecks during generation, allowing your GPU to run at maximum efficiency.๐ฆ PrerequisitesBefore installing the custom nodes, you need the upstream model code and the weights.Clone the Upstream HiDream-O1 Repo:REQUIRED. NO EXCEPTIONS. WORKFLOW WILL NOT RUN.The nodes rely on the official pipeline logic. Clone this anywhere on your local system:git clone https://github.com/HiDream-ai/HiDream-O1-Image.gitDownload the bf16 Model:https://huggingface.co/Comfy-Org/HiDream-O1-Image/tree/main/checkpointsPlace the bf16 file in CHECKPOINTS: ComfyUI/models/checkpoints/๐ ๏ธ InstallationOption 1: ComfyUI Windows PortableNote: Ensure your ComfyUI portable installation is located on a strict local system drive (e.g., C:\ or D:\). Do not install or run these nodes from a OneDrive-synced folder, as it will cause virtual environment and pathing errors.Open a command prompt and navigate to your portable custom nodes directory:cd \ComfyUI_windows_portable\ComfyUI\custom_nodesClone this repository:git clone https://github.com/RealRebelAI/Rebels_HiDream-01_Image_Dev_NODESInstall the requirements using the embedded Python environment:cd Rebels_HiDream_01_Image_Dev_NODES"..\..\..\python_embeded\python.exe" -m pip install -r requirements.txtOption 2: Desktop / Standard Python EnvironmentNavigate to your ComfyUI custom nodes directory and lone this repository:cd ComfyUI/custom_nodesgit clone https://github.com/RealRebelAI/Rebels_HiDream-01_Image_Dev_NODESActivate your ComfyUI virtual environment and install the requirements:cd Rebels_HiDream_01_Image_Dev_NODESpip install -r requirements.txt๐งฉ Node DocumentationRebel HiDream-O1 Loader (Safetensors)Loads the bf16 model and performs upfront dequantization.safetensors file: your checkpoint (bf16 file)tokenizer_path: Default is HiDream-ai/HiDream-O1-Image-Dev. It will automatically fetch the tokenizer config from Hugging Face.upstream_repo_path: The absolute local path to where you cloned the HiDream-O1-Image repository in the prerequisites (e.g., C:\Users\name\HiDream-O1-Image).device: Set to cuda for GPU acceleration.offload:aggressive: Heavily utilizes system RAM offloading (Recommended for 8GB VRAM cards like the RTX 3070).balanced: Standard memory splitting.minimal: Keeps most of the model in VRAM.Note: The loader will hang for a moment at 100% while it unpacks the uint8 GGUF bytes into native PyTorch tensors in your system RAM. This is normal and prevents the CPU from bottlenecking your GPU during the actual generation steps.Rebel HiDream-O1 SamplerConnect the model output from the Loader here.steps: 50 is the recommended count.cfg: Keep at 5.0 Higher CFG combined with heavy styling tags can cause "deep-fried" or crushed-shadow artifacts due to the literal pixel-rendering nature of the model.shift: keep at 3.0. Controls the timestep scheduling curve.scheduler_name:default: Standard sampling.flash: Injects specific noise profiles. Note: The noise_scale_start, noise_scale_end, and noise_clip_std parameters only apply if the scheduler is set to flash.โ ๏ธ Known Limitations & BehaviorsResolution Snapping: HiDream-O1 enforces strict token sequence lengths based on its pre-trained position embeddings. If you input a lower resolution (like 512x512 or 1024x1024), the upstream pipeline will automatically "snap" and force the generation to 2048x2048.Compute Times: Because the model renders a raw 2048x2048 image pixel-by-pixel without a VAE, generation times will be significantly longer than standard latent models (like SDXL or Flux).Prompting Style: Avoid stacking heavy texture tags (e.g., "8k resolution, ultra-detailed, gritty textures") unless you want a heavily illustrated look. For photorealism, use clean, simple photographic terms.
Hidream-O1-Image WF
HiDream-O1-Image is a natively unified image generative foundation model built on a Pixel-level Unified Transformer (UiT) without external VAEs or disjoint text encoders, which natively encodes raw pixels, text, and task-specific conditions in a single shared token space - supporting text-to-image, image editing, and subject-driven personalization at up to 2048 ร 2048.every model deserves a decent workflow that can be a good starting point to play with it ...download this: https://huggingface.co/Comfy-Org/HiDream-O1-Image/tree/main/checkpoints