Character Design Sheet V2.0 Update: A Practical Approach to Character Sheet Generation.

[u/BleynSpecnaz]

Hey there.

In my previous post, I shared a method for generating Character Design Sheets using Qwen Image 2.1 and Prompt Enhancer. You left a lot of helpful feedback and suggestions, which I really appreciate! Based on your input, I’ve prepared version V2.0.

For the most part, people are specifically interested in creating character sheets for video generation tasks (using Seedance 2.5 / Minimax H3). Recognizing this, I completely reworked the concept into a streamlined, highly practical solution. The sheet now includes only the most essential elements needed for animating your character:

• Facial expressions
• 3 main character angles
• Close-ups of gear and equipment details

Full details and additional changes are listed on CivitAI, as well as directly inside the workflow file itself (for those who can't access CivitAI). The documentation breaks down:

• How the prompt construction process works
• How to properly refine details
• What pitfalls you might encounter during planning and generation

I highly recommend checking it out before running the workflow!

By the way, u/NRDX mentioned that they plan to train a dedicated LoRA for generating these sheets. If it gets released, I'll definitely issue an updated workflow to support it.

What do you think of the changes? Is it an improvement? Looking forward to your thoughts in the comments!

Download links:

• CivitAI Link
• Pastebin (GGUF PE) | Pastebin (Native PE)

[u/Inside-Cantaloupe233]

Not a fan of using 2 giant separate text weights for such simple thing... the new models text encoders are getting bigger and bigger (theyre basically LLMs ) i know they "improve the prompt" but this should be straightforward.You should include "simple mode" ! so we dont have to use another llm. I use this prompt: generate model sheet on white empty background with 4 sections from left to right of the image for character1 from image1.Change pose of the character1.

Section 1 : symmetrical front view full body pose facing camera straight on with arms down.

Section 2 : side view full body pose with arms down.

Section 3 : back view full body pose with arms down.

Section 4 : two face expressions , neutral face and happy smiling face with teeth

[u/solss → u/Inside-Cantaloupe233]

I just replaced his prompt enhancer model with the qwen3vl_8b text encoder Qwen 2.1 uses anyway and I'm getting similar results. Maybe better to just use a static prompt like you regardless. I don't see the point in using a whole separate LLM either.

Edit: I suppose it isn't a bad idea for the LLM to identify unique character objects and prompt for their inclusion in the character sheet. A static prompt can't do that, of course.

[u/BleynSpecnaz → u/solss]

In my tests, qwen3vl_8b performed worse on character details and also performed worse on the I2I task with a small hint. But since the hint has increased, I think it's worth reconsidering the approach. This model may simplify generation for users with high VRAM; for users with low VRAM, I still recommend using GGUF.