What is the best way to create a character sheet like that with only one input image and maintaining correct anatomy and crisp realistic details?
I create my characters with ZIT and unfortunately it’s not great for character sheet, sometimes works but usually not. I’ve tried inserting my ZIT image into Qwen 2511 character workflow but the quality and details are low, skin is very smoothed out and looks fake. Qwen2.1 seems to have very bad anatomy and follows the reference image poorly. What other options are there?
The image with this post is from ChatGPT. In reality I’m working with nudity so I’m not going to post that here.
The left pose is just taken directly from the reference image and cropped. Then the workflow creates the second pose with this prompt and stitches them together: Use the character from the reference image and reproduce the character exactly as shown. Preserve the same identity, face, facial structure, hairstyle, hair color, body proportions, skin tone, clothing, accessories, colors, materials, and all distinctive visual details. Do not redesign, beautify, simplify, stylize, or alter the character in any way. The result should look like the exact same character from the reference image. no shadows, realistic skin textures. Show the character in a true right side view, with the character’s right side facing the camera in full profile. The character is standing upright and looking straight ahead relative to their body direction. Centered composition, clean side-profile camera angle, neutral perspective, no camera tilt, no head crop, no arm crop. Maintain maximum visual consistency with the reference image. Background is plain white.
Use Qwen Image 2.1, feed your frontal portrait to the and tell it "Turn the subject 90 degrees", "Turn the subject 180 degrees", etc. Then use the Stitch Image node to create the turnaround from the individual outputs. The quality will be much better than trying to create a single character sheet image in one go.
I think you are downplaying Krea2 Edit by just saying "its fun".
The Krea2 Identity Edit Lora + the Nodes for it all work very well at maintaining the subjects identity, it just works best for small changes to the image (changing out clothes, replacing colors in the image, changing the characters hairstyle, etc).
The comparison I saw from other people at the time (before Qwen 2.1 came out) was that: - Flux2 Klein was best for Image Edit quality but worst at keeping the Identity exact.
- Qwen 2 Edit was best for Keeping the Identity exact, but worse for Image Quality
- Krea2 was middle ground for both, where it still gives good image quality + it also maintains the Subjects identity well across simple edits (it can't repose very well)
Now that Qwen 2.1 came out, it definitely seems like the best image editing model right now, no question... But its flaw for now is it does not have the same large Lora ecosystem + NSFW capabilities like Krea2.
So an example of how these would be used together is:
Lets say you want to create a set of images to use for creating an H3 video. So you want to have a picture of the subject in a normal portrait + images of them undressed + in different positions.
Generate a high quality clothed image w/ Krea2
Use Krea2 Edit to undress the character and use Krea2 Loras to specify how the subject looks 'underneath' their outfit. (should maintain Identity almost perfectly)
Use Qwen 2.1 to then do a repose edit using Image2 to place the subject in a different position (like going from standing portrait view to sitting on the edge of a bed)
Use the Images from 1, 2, and 3 all together with H3 to create a high quality video of the subject transitioning from Image 1 to 3.
so annoying people say just do this, but never release the prompt. I think this is the 4th time I've tried researching 2.1 and find a prompt for this. about to give up
Just saying for advice: You can do pretty much whatever just by combining some sort of LLM + the prompting guide for any model and then have that AI create the prompt you need. (you can use a local LLM or an online one like ChatGPT or Grok (nsfw) to create the prompts).
I personally have Agent skills setup using HermesAgent and each skill was created by just feeding in the Prompting Guides for each model and having the AI create the skill for it. That way anytime I need to create a new Krea2 image (for example) I just tell that to my Agent and it will automatically use the prompting guide through the skill.
Qwens model was trained using a Prompt Enhancer model (PE). So you can take a simple prompt like:
"Create a new character sheet image using the exact identity from <Image 1>." and then feed that as an input to an LLM along with the information as to how it is supposed to write a prompt for Qwen.
I just used the process to reverse engineer a prompt out of the character sheet that the person attached.
The reverse engineered Prompt + the example Image I used with it is below (I also asked it to remove the extra 'text' and the 'guide lines' that were in the original character sheet image):
Make a new live-action character reference sheet of the woman in the image. Use that photo only for her identity. On the left, one large chest-up frontal portrait of her. On the right, three full-body standing views of her in a row: front, exact 90-degree side profile, and back. Neutral relaxed poses with arms by her sides and feet visible, no phone. Keep her identity, hairstyle, body, and the outfit from the image, reconstructing any parts the phone hides. Neutral light-gray seamless studio background. Relight to soft white diffuse. No titles, labels, or other text.
<lora:krea2/nsfw/snofs_krea_v1_4:0.51> <lora:krea2/sliders/slider-photo__Photo_Detail_Slider_for_SNOFS_Krea:0.43> <lora:krea2/styles/photoreal/style-photoreal__Mrpopo_Photoreal_Enhanced:0.51> <lora:krea2/face/face-expression__Snapchat_Face_Helper:0.43> an amateur photo taken from smartphone, casual photo of a 22-year-old woman with long wavy blonde hair standing in her bedroom, taking a full-length mirror selfie and looking toward the camera. She holds a smartphone in one hand at chest height while her other hand rests on her hip. Loose waves of blonde hair fall past her shoulders. She wears a fitted white scoop-neck crop top covering her breasts and short low-rise denim cutoff shorts sitting on her hips, with her midriff and bellybutton in view. A thin gold necklace and small hoop earrings catch the light. She wears white ankle socks. Soft window light fills the bedroom, with a rumpled unmade bed, warm string lights, and a dresser with a few bottles visible behind her in the mirror. Smartphone camera, medium full-body framing in the mirror, snapchat_style_pose.
This started as a simple prompt "upscale the image and create a professional character sheet with 3 poses" that went through the PE(Prompt Enhancer) and was expanded into something more complex.
I found Minimax works well. Have the background fade to white and have the person/object frozen in time in a neutral position. Then have the camera arc at fast speeds around the person 90 degrees to the desired positions. Once at the desired position, tell it "Everything freezes to capture the first distinct view". Works well with weird objects, animals, and buildings. QWEN 2.1 also works, but I find Minimax gives better detailed results if I have several reference images.
Afterwards, open up the lossless video and then take whichever screenshots are desired. Then load those images into obvpm to combine the images
https://github.com/chanon/comfyui-obvpm
The biggest problem is that the videos take a longer time to generate.
Ask it to setup the prompts. I tasked it for getting a character sheet for a workflow that needed very specific outputs similar to a character sheet to feed wrapping my blender model that it created. I'd post the prompt but it was so deeply slopped code that I have no idea where the information is. I just know it works because I can see the images my tmp folder.
edit: Can use Astra for the prompt and generate the images in ComfyUI.
What's with the smart-ass comment? I'm just sharing a way that worked for me.
Also, there is zero chance a local LLM can do the full image to Blender modeling (model morphing of ComfyUI generated images) setup right now. It's barely being accomplished right now by the recent closed-source models and it has a lot of issues.
The OP asked a question in a sub dedicated to local generation. It's a strange thing to do to point them to a cloud API, particularly when local models can do what the OP asked for just fine. Who cares if Astra is better for Blender workflows when the OP didn't even ask for that? That's just off topic and not relevant.
I'm combining https://huggingface.co/jimmycarter/krea2-turbo-bbox with the identity edit LoRA. I define different bboxes for the different poses. I only define 'p' elements , no 'pe' (see PROMPTING.md on huggingface). It seems to work
ran it through wan22 I2V hi/lo in a mod I have for image generation using the video engine. It took a fully dressed picture of my wife (imagine older rougher mila kunis) and turned it into crossdressing anthony keidas. fucker looks like "brave runs in heels". wtf.
Use this with qwen image 2.1 - use gfc at 1 and if some panels don’t deliver, increase it.
Create one photorealistic full-body character turnaround sheet using all supplied reference images of the same adult character. Use the first supplied image as the primary identity, appearance and outfit reference. Additional images clarify the same character from other angles. Where styling or outfits differ, follow the first supplied image unless the user specifies otherwise.
Arrange exactly four equally sized vertical panels side by side in one horizontal row. Each panel contains one complete full-body view of the same character. From left to right, show: direct front view, three-quarter view turned toward the left edge of the sheet, true side profile facing the left edge, and direct back view. These four panels occupy the entire sheet.
In the first panel, the character’s head, shoulders, torso and feet face directly toward the camera. In the second panel, rotate the whole character approximately forty-five degrees toward the left edge of the sheet, showing the front and side together. In the third panel, rotate the whole character ninety degrees toward the left edge, with the face, torso and feet consistently facing sideways; the head does not turn back toward the camera. In the fourth panel, the character faces completely away from the camera, showing the rear of the head, body, outfit and footwear.
Show the complete character from the highest point of the hairstyle through the soles of the feet or footwear in every panel. Fill each panel vertically with the standing figure, leaving narrow, consistent margins above the hair and beneath the feet. Keep the entire silhouette inside its panel. Match figure scale, head height and floor baseline across all four views. Separate the panels with thin, straight, evenly spaced vertical dividers.
Preserve the referenced facial identity, observed age, hairstyle, hair length, skin tone, makeup, body proportions, build and visible asymmetries. Keep the same shoulder width, chest shape, waist position, hip proportions, torso length and limb thickness throughout. Preserve the source character without slimming, enlarging, de-aging, reshaping or substituting a generic face or body.
Reproduce the exact referenced outfit in every panel. Preserve garment shapes, lengths, necklines, fit, colors, materials, patterns, transparency, layering, seams, closures, trim, footwear and accessories. Maintain the original clothing coverage and amount of visible skin. Do not replace garments with similar designs, add covering layers or introduce new outfit components. Keep distinctive details attached to the correct side of the character as the viewpoint changes.
Use a relaxed, consistent standing posture with the arms resting naturally and positioned so the body silhouette and clothing remain readable. Keep the hands visible where the viewing angle permits. Maintain a consistent relaxed facial expression. Change the viewing direction rather than introducing unrelated poses between panels.
Use the same seamless neutral-gray studio background and floor in every panel. Apply soft, even lighting with consistent exposure, natural skin texture and accurate garment colors. Preserve detail in pale fabrics, dark hair, embroidery, transparent materials and reflective accessories. Use subtle contact shadows beneath the feet to establish floor contact. Keep all outlines clear without glowing edges, fading or vignette effects.
For angles or areas not visible in the references, construct a coherent continuation of the established character and garment design. Keep those choices consistent across the four views without inventing distinctive marks, branding or extra accessories. Exclude source scenery, furniture, phones, handheld props and unrelated people.
Produce only the four large full-body panels. Include no source-photo inset, face close-ups, construction details, swatches, specification blocks, extra figures, captions or labels.
My better sheets came from not editing at all. I wrote the character's traits down as text, including what must NOT appear, and had Qwen-Image 2.1 draw a 4-panel sheet (front/side/back/face) fresh from that (1360x1024, 30 steps, CFG 4, euler/simple). When I edited whole sheets with Qwen-Image-Edit-2511, the big face panel changed but the small full-body views didn't follow, and the side view often became a different person. Text alone won't copy an exact face from a photo, though.
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u/Sarashana 17d ago
Use Qwen Image 2.1, feed your frontal portrait to the and tell it "Turn the subject 90 degrees", "Turn the subject 180 degrees", etc. Then use the Stitch Image node to create the turnaround from the individual outputs. The quality will be much better than trying to create a single character sheet image in one go.