Image-Text-to-Text
Transformers
Safetensors
qwen3_5
qwen3.8
conversational
comfyui
fine-tuned
sft
unsloth
vision-language
mtp
Instructions to use Rom3rk/Qwen3.8-27B-ComfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rom3rk/Qwen3.8-27B-ComfyUI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Rom3rk/Qwen3.8-27B-ComfyUI") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Rom3rk/Qwen3.8-27B-ComfyUI") model = AutoModelForMultimodalLM.from_pretrained("Rom3rk/Qwen3.8-27B-ComfyUI", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Rom3rk/Qwen3.8-27B-ComfyUI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Rom3rk/Qwen3.8-27B-ComfyUI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Rom3rk/Qwen3.8-27B-ComfyUI", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/Rom3rk/Qwen3.8-27B-ComfyUI
- SGLang
How to use Rom3rk/Qwen3.8-27B-ComfyUI with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Rom3rk/Qwen3.8-27B-ComfyUI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Rom3rk/Qwen3.8-27B-ComfyUI", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Rom3rk/Qwen3.8-27B-ComfyUI" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Rom3rk/Qwen3.8-27B-ComfyUI", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Unsloth Desktop
- Docker Model Runner
How to use Rom3rk/Qwen3.8-27B-ComfyUI with Docker Model Runner:
docker model run hf.co/Rom3rk/Qwen3.8-27B-ComfyUI
| base_model: | |
| - Qwen/Qwen3.8-27B | |
| base_model_relation: finetune | |
| license: apache-2.0 | |
| library_name: transformers | |
| pipeline_tag: image-text-to-text | |
| tags: | |
| - transformers | |
| - safetensors | |
| - qwen3.8 | |
| - conversational | |
| - comfyui | |
| - fine-tuned | |
| - sft | |
| - unsloth | |
| - vision-language | |
| - mtp | |
| # Qwen3.8-27B-ComfyUI | |
| Qwen3.8-27B-ComfyUI is a fine-tuned Qwen3.8-27B model specialized for generating, editing, repairing, auditing, and explaining ComfyUI frontend/UI workflow JSON. | |
| ## Overview | |
| ```text | |
| ComfyUI request | |
| -> interpret workflow intent and constraints | |
| -> generate, edit, repair, audit, or explain | |
| -> return workflow JSON or a conversational answer | |
| ``` | |
| ## Capabilities | |
| - Generate ComfyUI UI workflows from natural-language requests | |
| - Edit existing workflows while preserving requested components | |
| - Repair invalid, incomplete, or disconnected workflows | |
| - Audit workflow structure, nodes, inputs, and links | |
| - Explain workflow behavior and node interactions | |
| - Provide raw workflow JSON or conversational ComfyUI assistance | |
| ## Quick Start | |
| Install the required libraries: | |
| ```bash | |
| pip install --upgrade transformers accelerate safetensors | |
| ``` | |
| ```python | |
| import torch | |
| from transformers import AutoModelForImageTextToText, AutoProcessor | |
| MODEL_ID = "Rom3rk/Qwen3.8-27B-ComfyUI" | |
| ENABLE_THINKING = False | |
| processor = AutoProcessor.from_pretrained(MODEL_ID) | |
| model = AutoModelForImageTextToText.from_pretrained( | |
| MODEL_ID, | |
| dtype=torch.bfloat16, | |
| device_map="auto", | |
| ).eval() | |
| messages = [ | |
| { | |
| "role": "user", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": ( | |
| "Create a ComfyUI UI workflow for an SDXL image-to-image " | |
| "pipeline with a ControlNet depth branch and return the " | |
| "complete loadable UI workflow JSON." | |
| ), | |
| } | |
| ], | |
| } | |
| ] | |
| inputs = processor.apply_chat_template( | |
| messages, | |
| tokenize=True, | |
| add_generation_prompt=True, | |
| enable_thinking=ENABLE_THINKING, | |
| return_dict=True, | |
| return_tensors="pt", | |
| ).to(model.device) | |
| with torch.inference_mode(): | |
| generated_ids = model.generate( | |
| **inputs, | |
| max_new_tokens=4096, | |
| do_sample=True, | |
| temperature=0.7, | |
| top_p=0.8, | |
| top_k=20, | |
| ) | |
| new_tokens = generated_ids[:, inputs.input_ids.shape[1]:] | |
| response = processor.batch_decode( | |
| new_tokens, | |
| skip_special_tokens=True, | |
| clean_up_tokenization_spaces=False, | |
| )[0] | |
| print(response) | |
| ``` | |
| The model uses Qwen's native chat template. Set `ENABLE_THINKING` according to the task and inference runtime rather than replacing the template. | |
| ## Usage Examples | |
| ### Workflow Generation | |
| ```text | |
| Create a ComfyUI UI workflow for an SDXL image-to-image pipeline with a ControlNet depth branch, a two-stage sampler, and a final image-save node. Return the complete loadable UI workflow JSON. | |
| ``` | |
| ### Workflow Editing | |
| ```text | |
| Modify the following ComfyUI UI workflow to add a second ControlNet branch. Preserve the existing model, sampler settings, node positions, and unrelated links. | |
| ``` | |
| ### Workflow Repair | |
| ```text | |
| Repair the invalid links and missing required inputs in this ComfyUI UI workflow. Keep all valid nodes and settings unchanged, and return the corrected workflow JSON. | |
| ``` | |
| ### Workflow Audit | |
| ```text | |
| Audit this ComfyUI UI workflow for invalid endpoints, disconnected nodes, incompatible inputs, redundant components, and settings that conflict with the requested generation pipeline. | |
| ``` | |
| ## Recommended Sampling Settings | |
| | Mode | Temperature | Top-p | Top-k | Presence penalty | | |
| |---|---:|---:|---:|---:| | |
| | Thinking | 1.0 | 0.95 | 20 | 0.0 | | |
| | Non-thinking | 0.7 | 0.80 | 20 | 1.5 | | |
| These settings follow the recommendations published for Qwen3.8. Availability and parameter names may vary by inference runtime. | |
| ## Questions and Feedback | |
| For questions, bug reports, workflow compatibility issues, or general feedback, please open a Discussion from this repository's **Community** tab. | |
| When reporting a workflow issue, please include: | |
| - Inference runtime and version | |
| - ComfyUI version | |
| - Relevant custom nodes | |
| - The original prompt | |
| - The generated workflow JSON or raw model output | |
| ## License and Attribution | |
| This model is a modified derivative of [Qwen/Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) and is distributed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). See the repository's `LICENSE` file for the full license text. | |
| Qwen3.8 was developed by the Qwen Team. Model fine-tuning and merging used [Unsloth](https://unsloth.ai/). | |
| ## Citation | |
| ```bibtex | |
| @misc{qwen38, | |
| title = {{Qwen3.8-Max}: A New Bar for Coding and Cowork}, | |
| author = {{Qwen Team}}, | |
| month = {August}, | |
| year = {2026}, | |
| url = {https://qwen.ai/blog?id=qwen3.8} | |
| } | |
| ``` | |
| ## References | |
| - [Qwen3.8-27B](https://huggingface.co/Qwen/Qwen3.8-27B) | |
| - [Unsloth](https://unsloth.ai/) | |
| - [Transformers](https://huggingface.co/docs/transformers/) | |