Anima visual style with Qwen3.5 4B language understanding.
52-block DiT · Qwen3.5 4B
Anima 3.8B is an expansion of Anima 2.9B aimed at prompt adherence, multi-character binding, interactions, spatial instructions, and mixed natural-language/tag prompting. Anima 2.9B's layers were expanded to 52, making the diffusion model approximately 3.8B parameters, hence the name.
Version 1.1 contains:
“3.8B” is the release name for the expanded Pro52 diffusion model. Qwen3.5 4B remains a separate inference component.
Trained for ~140h on 4xA40s.
Semantic Connector v2 replaces the older progressive-cross experiment. It is timestep-aware, so it remains part of the sampling model and is evaluated at each denoising step. The connector and DiT now ship as one inference checkpoint. There is no separate adapter file to select and no strength slider to tune: v2 always uses the trained strength of 1.0.
The text encoders are still separate. They are only needed when a prompt is encoded and can be released or offloaded afterward. Changing the prompt loads them again; reusing cached conditioning does not. This keeps the steady sampling footprint much lower than holding the diffusion model and both text encoders in VRAM at the same time.
The original preview material is preserved below for reference. The old v1 adapter remains supported by the companion extensions as a fallback, but v1.1/v2 is the release path going forward.
Download the bundled Anima-3.8B-v1.1.safetensors checkpoint along with:
qwen_3_06b_base.safetensorsqwen35_4b.safetensorsqwen_image_vae.safetensorsInstall comfyui-anima-3-8B, then place the files here:
ComfyUI/models/
├── diffusion_models/Anima-3.8B-v2.safetensors
├── text_encoders/qwen_3_06b_base.safetensors
├── text_encoders/qwen35_4b.safetensors
└── vae/qwen_image_vae.safetensors
In the workflow:
anima.3-8B-v1.1.qwen_3_06b_base.safetensors with ComfyUI's CLIPLoader and select stable_diffusion as the type.qwen35_4b.safetensors with Load Qwen3.5 4B (Anima).anima.3-8B-v2 Prompt, enter one prompt, and send its expanded output to the sampler.Both text encoders are released after conditioning is produced. The bundled connector stays with the diffusion model because it is used during sampling. Workflow: https://huggingface.co/lylogummy/Anima-3.8B/blob/main/workflows/workflow_1.1.json
Install forge-anima-3.8B, place the bundle in models/Stable-diffusion, and put both text encoders in models/text_encoder. Select the v2 checkpoint, then select the native Qwen encoder and Anima VAE in Forge's VAE / Text Encoder control. The extension recognizes the bundle automatically, even when its accordion is collapsed.
On lower-VRAM systems, prompt encoding may temporarily increase VRAM use while Qwen3.5 is active. Forge and ComfyUI can offload the text encoders again before sampling. Exact memory use still depends on resolution, attention backend, precision, and the frontend's offload settings.
Natural language, tags, and hybrids all work. For complex scenes, assign each subject its own sentence:
Miku on top right.
Teto on lower left.
Apple on top left.
Nothing on lower right.
etc.
Try to avoid pronouns when working with multiple characters, e.g: she/he, use explicit names instead; e.g: Instead of
2girls, Miku is sitting near Teto, she is eating an ice-cream.
Try:
There are two girls in this illustration.
Miku from Vocaloid and Teto from Vocaloid.
Miku is sitting near Teto, Miku is eating an ice-cream.
Other than this, prompt format should follow Anima/Anima 2.9 guidance.
Anima 3.8B is an experimental expansion of Anima 2.9B aimed at prompt adherence, multi-character binding, interactions, spatial instructions, and mixed natural-language/tag prompting. Anima 2.9B's layers were expanded to 52, making this model essentially 3.8B, hence the name.
It is a paired release:
This is not a prompt translator or alignment model for qwen 3 0.6b. Qwen3.5 hidden states condition the denoiser through learned cross-attention, while the accompanying Pro52 checkpoint contains the trained DiT blocks that consume that signal.
“3.8B” is the release name for the expanded Pro52 diffusion model. Qwen3.5 4B remains a separate inference component.
These prompts were extracted directly from the PNG metadata. Open a comparison image at full size to read its panel labels.
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
Foxgirl, blonde hair, braids, wearing high leg shorts and a crop top. behind her is a lake with fish, fisheye. Very detailed and intricate scenery. On her left hand she holds a sign with the text: "ANIMA 3.8B". On the wooden railing behind her there is another sign with the text: "QWEN 4B"
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
flandre scarlet, touhou, The girl is standing in an infinite mirror rooms, around the girl there is a white snake with red eyes, the girl does an action pose, holds a sword pointed at the viewer, fisheye, foreshortening, very detailed and intricate background
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
2girls, arknights: endfield, intense confrontation, emotional fight scene, dramatic action scene, close-range conflict, dynamic composition, diagonal composition, strong tension, cinematic lighting, high contrast, impact moment, motion blur, speed lines, flying debris, hair flying, clothes fluttering, dramatic shadows, emotionally charged atmosphere, close-up battle scene, clear height of emotion, best quality, amazing quality
,four large Chinese calligraphy characters in the four corners, top-left "空", top-right "是", bottom-left "即", bottom-right "色", bold brush calligraphy, powerful ink strokes, dramatic typography, stylized kanji composition, text integrated into the scene, strong visual balance, teXt: 色
即
是
空
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024, safe, detailed pupils,
Description:
Exactly three girls sit around a circular café table.
Flandre scarlet from touhou sits on the left and pours tea from a white teapot.
Kagamine rin from Vocaloid sits in the center and holds a slice of strawberry cake.
Shimakaze \(kancolle\) from kantai collection sits on the right and writes in a blue notebook.
dark background
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
David martinez from cyberpunk is holding a huge sword horizontally, looking at viewer, he is wearing a high visibility vest and baggy clothes.
Rebecca from cyberpunk is sitting on the sword that David is holding, with her back to the viewer and looking back, she is wearing a black high-tech bodysuit.
Cyberpunk street view from a low angle.
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
Ganyu \(genshin impact\), genshin impact, in a japanese garden, the girl is wearing a pink kimono with white butterfly patterns. She can be seen walking from head to toe. Underneath her are wet stones and puddle left by a passing rain. Sakura leaves surround her, gusty, windy, fisheye. She is looking at the viewer, the background and the illustration are very intricate with lots of tiny details. Behind the girl there is an old wooden wall. There is a bold cursive japanese-style text at the top saying "ANIMA 3.8B".
(@chen bin:1.1),
Description:
4 panel illustration.
top left panel is emilia from re zero.
top right panel is hatsune miku from vocaloid.
bottom left panel is burnice white from zenless zone zero.
bottom right panel is a purple and white apple.
(@chen bin:1.1),
Description:
Emilia from Re:Zero and Hatsune Miku from Vocaloid stand together in a flower garden. Emilia is on the left, offering Miku a small white flower with her right hand. Miku is on the right, accepting it with her left hand while holding a microphone behind her back with her other hand. Exactly two girls, both visible from head to toe, distinct bodies, correct character designs, clear eye contact, no duplicated characters.
 |  |  |
 |  |  |
 |  |  |
 |  |
 |
 |  |
 |
The grids compare native Anima with the paired model at different Qwen strengths. They are qualitative evidence, not a promise that every seed improves.
prompt ─┬─ Qwen3 0.6B ─ native Anima adapter ────┐
└─ Qwen3.5 4B ─ progressive cross-attn ──┴─ 512-token conditioning
│
Pro52: 40 native + 12 trained DiT blocks
│
image
Qwen3.5 layers 7/15/23/31 provide the semantic features. Six frozen native adapter blocks hold the original Anima alignment; six learned cross-attention insertions add the semantic residual.
ComfyUI/models/
├── diffusion_models/Anima-2.9B/
│ └── Anima-3.8-preview-0.1.safetensors
├── text_encoders/
│ ├── qwen_3_06b_base.safetensors
│ ├── qwen35_4b.safetensors
│ └── Anima-3.8-preview-0.1-adapter.safetensors
└── vae/
└── Qwen2D-Anime-dense_epoch_1.safetensors
The companion ComfyUI code is MIT. This model is derived from and depends on upstream Anima-base and Anima 2.9B licenses. Please follow the original licenses.
More room for the prompt to matter.
Anima visual style with Qwen3.5 4B language understanding.
52-block DiT · Qwen3.5 4B
Anima 3.8B is an expansion of Anima 2.9B aimed at prompt adherence, multi-character binding, interactions, spatial instructions, and mixed natural-language/tag prompting. Anima 2.9B's layers were expanded to 52, making the diffusion model approximately 3.8B parameters, hence the name.
Version 1.1 contains:
“3.8B” is the release name for the expanded Pro52 diffusion model. Qwen3.5 4B remains a separate inference component.
Trained for ~140h on 4xA40s.
Semantic Connector v2 replaces the older progressive-cross experiment. It is timestep-aware, so it remains part of the sampling model and is evaluated at each denoising step. The connector and DiT now ship as one inference checkpoint. There is no separate adapter file to select and no strength slider to tune: v2 always uses the trained strength of 1.0.
The text encoders are still separate. They are only needed when a prompt is encoded and can be released or offloaded afterward. Changing the prompt loads them again; reusing cached conditioning does not. This keeps the steady sampling footprint much lower than holding the diffusion model and both text encoders in VRAM at the same time.
The original preview material is preserved below for reference. The old v1 adapter remains supported by the companion extensions as a fallback, but v1.1/v2 is the release path going forward.
Download the bundled Anima-3.8B-v1.1.safetensors checkpoint along with:
qwen_3_06b_base.safetensorsqwen35_4b.safetensorsqwen_image_vae.safetensorsInstall comfyui-anima-3-8B, then place the files here:
ComfyUI/models/
├── diffusion_models/Anima-3.8B-v2.safetensors
├── text_encoders/qwen_3_06b_base.safetensors
├── text_encoders/qwen35_4b.safetensors
└── vae/qwen_image_vae.safetensors
In the workflow:
anima.3-8B-v1.1.qwen_3_06b_base.safetensors with ComfyUI's CLIPLoader and select stable_diffusion as the type.qwen35_4b.safetensors with Load Qwen3.5 4B (Anima).anima.3-8B-v2 Prompt, enter one prompt, and send its expanded output to the sampler.Both text encoders are released after conditioning is produced. The bundled connector stays with the diffusion model because it is used during sampling. Workflow: https://huggingface.co/lylogummy/Anima-3.8B/blob/main/workflows/workflow_1.1.json
Install forge-anima-3.8B, place the bundle in models/Stable-diffusion, and put both text encoders in models/text_encoder. Select the v2 checkpoint, then select the native Qwen encoder and Anima VAE in Forge's VAE / Text Encoder control. The extension recognizes the bundle automatically, even when its accordion is collapsed.
On lower-VRAM systems, prompt encoding may temporarily increase VRAM use while Qwen3.5 is active. Forge and ComfyUI can offload the text encoders again before sampling. Exact memory use still depends on resolution, attention backend, precision, and the frontend's offload settings.
Natural language, tags, and hybrids all work. For complex scenes, assign each subject its own sentence:
Miku on top right.
Teto on lower left.
Apple on top left.
Nothing on lower right.
etc.
Try to avoid pronouns when working with multiple characters, e.g: she/he, use explicit names instead; e.g: Instead of
2girls, Miku is sitting near Teto, she is eating an ice-cream.
Try:
There are two girls in this illustration.
Miku from Vocaloid and Teto from Vocaloid.
Miku is sitting near Teto, Miku is eating an ice-cream.
Other than this, prompt format should follow Anima/Anima 2.9 guidance.
Anima 3.8B is an experimental expansion of Anima 2.9B aimed at prompt adherence, multi-character binding, interactions, spatial instructions, and mixed natural-language/tag prompting. Anima 2.9B's layers were expanded to 52, making this model essentially 3.8B, hence the name.
It is a paired release:
This is not a prompt translator or alignment model for qwen 3 0.6b. Qwen3.5 hidden states condition the denoiser through learned cross-attention, while the accompanying Pro52 checkpoint contains the trained DiT blocks that consume that signal.
“3.8B” is the release name for the expanded Pro52 diffusion model. Qwen3.5 4B remains a separate inference component.
These prompts were extracted directly from the PNG metadata. Open a comparison image at full size to read its panel labels.
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
Foxgirl, blonde hair, braids, wearing high leg shorts and a crop top. behind her is a lake with fish, fisheye. Very detailed and intricate scenery. On her left hand she holds a sign with the text: "ANIMA 3.8B". On the wooden railing behind her there is another sign with the text: "QWEN 4B"
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
flandre scarlet, touhou, The girl is standing in an infinite mirror rooms, around the girl there is a white snake with red eyes, the girl does an action pose, holds a sword pointed at the viewer, fisheye, foreshortening, very detailed and intricate background
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
2girls, arknights: endfield, intense confrontation, emotional fight scene, dramatic action scene, close-range conflict, dynamic composition, diagonal composition, strong tension, cinematic lighting, high contrast, impact moment, motion blur, speed lines, flying debris, hair flying, clothes fluttering, dramatic shadows, emotionally charged atmosphere, close-up battle scene, clear height of emotion, best quality, amazing quality
,four large Chinese calligraphy characters in the four corners, top-left "空", top-right "是", bottom-left "即", bottom-right "色", bold brush calligraphy, powerful ink strokes, dramatic typography, stylized kanji composition, text integrated into the scene, strong visual balance, teXt: 色
即
是
空
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024, safe, detailed pupils,
Description:
Exactly three girls sit around a circular café table.
Flandre scarlet from touhou sits on the left and pours tea from a white teapot.
Kagamine rin from Vocaloid sits in the center and holds a slice of strawberry cake.
Shimakaze \(kancolle\) from kantai collection sits on the right and writes in a blue notebook.
dark background
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
David martinez from cyberpunk is holding a huge sword horizontally, looking at viewer, he is wearing a high visibility vest and baggy clothes.
Rebecca from cyberpunk is sitting on the sword that David is holding, with her back to the viewer and looking back, she is wearing a black high-tech bodysuit.
Cyberpunk street view from a low angle.
(@chen bin:1.1), masterpiece, best quality, high quality, newest, year 2025, year 2024,
Description:
Ganyu \(genshin impact\), genshin impact, in a japanese garden, the girl is wearing a pink kimono with white butterfly patterns. She can be seen walking from head to toe. Underneath her are wet stones and puddle left by a passing rain. Sakura leaves surround her, gusty, windy, fisheye. She is looking at the viewer, the background and the illustration are very intricate with lots of tiny details. Behind the girl there is an old wooden wall. There is a bold cursive japanese-style text at the top saying "ANIMA 3.8B".
(@chen bin:1.1),
Description:
4 panel illustration.
top left panel is emilia from re zero.
top right panel is hatsune miku from vocaloid.
bottom left panel is burnice white from zenless zone zero.
bottom right panel is a purple and white apple.
(@chen bin:1.1),
Description:
Emilia from Re:Zero and Hatsune Miku from Vocaloid stand together in a flower garden. Emilia is on the left, offering Miku a small white flower with her right hand. Miku is on the right, accepting it with her left hand while holding a microphone behind her back with her other hand. Exactly two girls, both visible from head to toe, distinct bodies, correct character designs, clear eye contact, no duplicated characters.
| | |
| | |
| | |
| |
|
| |
|
The grids compare native Anima with the paired model at different Qwen strengths. They are qualitative evidence, not a promise that every seed improves.
prompt ─┬─ Qwen3 0.6B ─ native Anima adapter ────┐
└─ Qwen3.5 4B ─ progressive cross-attn ──┴─ 512-token conditioning
│
Pro52: 40 native + 12 trained DiT blocks
│
image
Qwen3.5 layers 7/15/23/31 provide the semantic features. Six frozen native adapter blocks hold the original Anima alignment; six learned cross-attention insertions add the semantic residual.
ComfyUI/models/
├── diffusion_models/Anima-2.9B/
│ └── Anima-3.8-preview-0.1.safetensors
├── text_encoders/
│ ├── qwen_3_06b_base.safetensors
│ ├── qwen35_4b.safetensors
│ └── Anima-3.8-preview-0.1-adapter.safetensors
└── vae/
└── Qwen2D-Anime-dense_epoch_1.safetensors
The companion ComfyUI code is MIT. This model is derived from and depends on upstream Anima-base and Anima 2.9B licenses. Please follow the original licenses.
More room for the prompt to matter.