Image-Text-to-Image
Diffusers
English
lora
flux
flux.2
flux.2-klein
matchingpose
pose-transfer
character-consistency
image-to-image
text-to-image
Instructions to use abdeinorstw/Flux.2-Klein-9B-MatchingPose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abdeinorstw/Flux.2-Klein-9B-MatchingPose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-base-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("abdeinorstw/Flux.2-Klein-9B-MatchingPose") prompt = "matchingpose9b — cycle through: face reference → mannequin pose → final output" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Commit ·
9d22746
0
Parent(s):
Duplicate from nhathoangfoto/Flux.2-Klein-9B-MatchingPose
Browse filesCo-authored-by: Jett Huang <nhathoangfoto@users.noreply.huggingface.co>
- .gitattributes +41 -0
- Maching_Pose_9B_Rank256.safetensors +3 -0
- README.md +281 -0
- examples/.gitkeep +0 -0
- examples/1a.jpg +3 -0
- examples/1b.png +3 -0
- examples/1c.png +3 -0
- examples/2a.jpg +0 -0
- examples/2b.png +3 -0
- examples/2c.png +3 -0
- examples/Example Workflow.png +3 -0
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README.md
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---
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license: apache-2.0
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base_model: black-forest-labs/FLUX.2-klein-base-9B
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base_model_relation: adapter
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tags:
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- lora
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- flux
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- flux.2
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- flux.2-klein
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- matchingpose
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- pose-transfer
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- character-consistency
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- diffusers
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- image-to-image
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- text-to-image
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language:
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- en
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pipeline_tag: image-text-to-image
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library_name: diffusers
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instance_prompt: matchingpose9b
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widget:
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- text: "matchingpose9b — cycle through: face reference → mannequin pose → final output"
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output:
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url: examples/1a.jpg
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- text: "matchingpose9b, a young woman matching the mannequin pose, studio lighting"
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output:
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url: examples/1c.png
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- text: "matchingpose9b, a man matching the mannequin pose, studio lighting"
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output:
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url: examples/1c.png
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---
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## 🔴 TUTORIALS COMING SOON — SUBSCRIBE NOW
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**I'll be dropping in-depth tutorials on AI models, ComfyUI workflows, image & video generation, 3D tools and more.**
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[](https://www.youtube.com/@JettHuangAI)
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**[@JettHuangAI](https://www.youtube.com/@JettHuangAI) — Hit 🔔 so you don't miss it!**
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# 🧍 Flux.2-Klein-9B-MatchingPose
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**A LoRA adapter for FLUX.2 Klein 9B that transfers any mannequin pose reference onto a character subject — producing perfectly pose-matched characters while preserving the subject's identity, face, and style.**
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Designed as the companion model to [**Flux.2-Klein-9B-Mannequin**](https://huggingface.co/nhathoangfoto/Flux.2-Klein-9B-Mannequin) — together they form a complete **pose-transfer and character-consistency pipeline**.
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---
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<div align="center">
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### ☕ Support My Work
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If this LoRA helps your projects, please consider supporting continued development and new model releases.
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[](https://paypal.me/nhathoangfoto)
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**→ [paypal.me/nhathoangfoto](https://paypal.me/nhathoangfoto) ←**
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*Every contribution directly funds training compute, dataset curation, and the release of new open-source LoRAs.*
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</div>
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---
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For custom LoRA training, advanced ComfyUI workflow development, or collaboration:
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📱 WhatsApp: +84947397868
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| 67 |
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💬 Telegram/Discord: nhathoangfoto
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| 68 |
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🐦 X: https://x.com/NhatPhoto
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| 69 |
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📘 Facebook: https://www.facebook.com/nhathoangfoto
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Powerful local hardware, ready for any complex project: 🚀 **RTX 5090** | **RTX Pro 6000** 🛠️
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---
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## 🖼️ Examples
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### Case 1 — complex pose
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| Input Face | Mannequin Pose | → Output |
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|:---:|:---:|:---:|
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|  |  |  |
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### Case 2 — base pose
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| Input Face | Mannequin Pose | → Output |
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|:---:|:---:|:---:|
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|  |  |  |
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*Left: character reference (face/identity). Middle: mannequin pose reference (generated by the companion [Mannequin LoRA](https://huggingface.co/nhathoangfoto/Flux.2-Klein-9B-Mannequin)). Right: final output — the character replicating the exact mannequin pose.*
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---
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## ✨ What this LoRA does
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- **Transfers any pose from a mannequin reference onto a character** with high pose fidelity
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- **Preserves the character's identity, face, and style** from the face reference
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- **Works with any input face** — photographs, AI-generated characters, illustrations
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- **Matches limb position, body orientation, and overall composition** exactly
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- **Produces natural skin, clothing, and lighting** in the output — not a stiff mannequin render
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## 🎯 Why use it
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Pose transfer in FLUX.2 is challenging because most methods either:
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- **Lose the character's identity** when forcing a pose (ControlNet drift)
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- **Fail to match the pose accurately** when using only text prompts
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- **Require complex multi-ControlNet setups** that are slow and unreliable
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**MatchingPose LoRA solves this** by using a mannequin as a clean, identity-free pose anchor. Since the mannequin encodes only pose and proportions (no face, no clothing bias), the character LoRA can fill in identity cleanly without pose drift.
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---
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## 🔗 Complete Workflow — Paired with Mannequin LoRA
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This LoRA is the second stage of a two-stage pipeline with [**Flux.2-Klein-9B-Mannequin**](https://huggingface.co/nhathoangfoto/Flux.2-Klein-9B-Mannequin):
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```
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┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
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│ Real Reference │ → │ Mannequin LoRA │ → │ Pose Template │
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│ (any photo) │ │ (stage 1 LoRA) │ │ (faceless body) │
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└─────────────────┘ └──────────────────┘ └─────────────────┘
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│
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▼
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┌──────────────────┐ ┌────────────────────┐ ┌──────────────┐
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│ Character LoRA / │ → │ MatchingPose LoRA │ → │ Final Output │
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│ Reference Face │ │ (this model) │ │ (your char, │
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└──────────────────┘ └────────────────────┘ │ same pose) │
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└──────────────┘
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```
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The two-stage pipeline guarantees **pose consistency across characters** — feed any real photo in, get any character out, same pose.
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### 📋 Example Workflow
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*Complete ComfyUI workflow example showing the Mannequin + MatchingPose LoRA chain in action.*
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---
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## 🎯 Trigger Word
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| 140 |
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```
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matchingpose9b
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```
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This is the primary trigger for the LoRA. Place it at the beginning of your positive prompt to activate the pose-matching behavior.
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+
|
| 147 |
+
### Example Prompt Structure
|
| 148 |
+
|
| 149 |
+
```
|
| 150 |
+
matchingpose9b, a young woman with long brown hair, wearing a white dress,
|
| 151 |
+
matching the reference pose, studio lighting
|
| 152 |
+
```
|
| 153 |
+
|
| 154 |
+
```
|
| 155 |
+
matchingpose9b, a man in a black suit, sitting on a stool,
|
| 156 |
+
matching the mannequin pose, natural lighting
|
| 157 |
+
```
|
| 158 |
+
|
| 159 |
+
---
|
| 160 |
+
|
| 161 |
+
## 💡 Tips & Prompting Guide
|
| 162 |
+
|
| 163 |
+
### 1. Describe the Character, Not the Pose
|
| 164 |
+
|
| 165 |
+
Let the mannequin reference handle the pose. Your prompt should focus on **who the character is** — their appearance, clothing, and style. Describing the pose in text can conflict with the reference.
|
| 166 |
+
|
| 167 |
+
**Good:**
|
| 168 |
+
```
|
| 169 |
+
matchingpose9b, a young asian woman with black hair in a ponytail,
|
| 170 |
+
wearing red athletic wear, studio background
|
| 171 |
+
```
|
| 172 |
+
|
| 173 |
+
**Avoid (redundant pose description):**
|
| 174 |
+
```
|
| 175 |
+
matchingpose9b, a woman squatting with hands on knees, looking up...
|
| 176 |
+
```
|
| 177 |
+
|
| 178 |
+
### 2. Use Clean Mannequin References
|
| 179 |
+
|
| 180 |
+
For best results, generate your pose reference using the companion [Mannequin LoRA](https://huggingface.co/nhathoangfoto/Flux.2-Klein-9B-Mannequin). Clean, isolated mannequin images on white backgrounds give the sharpest pose transfer.
|
| 181 |
+
|
| 182 |
+
### 3. Match Subject Gender / Age
|
| 183 |
+
|
| 184 |
+
Make sure your character description matches the body type of the mannequin reference (adult male mannequin → adult male character, female kid mannequin → young girl, etc.) to avoid proportion conflicts.
|
| 185 |
+
|
| 186 |
+
### 4. Recommended Settings
|
| 187 |
+
|
| 188 |
+
- **LoRA Strength**: `0.9 – 1.1` — matching pose benefits from slightly stronger activation
|
| 189 |
+
- **Inference Steps**: 4 steps for distill and 20 steps for Base Model
|
| 190 |
+
- **Guidance Scale**: `1 – 4.0`
|
| 191 |
+
|
| 192 |
+
### 5. Two-Stage Workflow for Best Results
|
| 193 |
+
|
| 194 |
+
1. **Stage 1**: Take your real/reference photo → apply Mannequin LoRA → get clean mannequin pose
|
| 195 |
+
2. **Stage 2**: Feed mannequin pose + character reference → apply MatchingPose LoRA → final output
|
| 196 |
+
|
| 197 |
+
This two-stage approach produces far better results than trying to transfer pose directly from the real reference (which carries identity bias).
|
| 198 |
+
|
| 199 |
+
---
|
| 200 |
+
|
| 201 |
+
## 🚀 Usage
|
| 202 |
+
|
| 203 |
+
### ComfyUI
|
| 204 |
+
|
| 205 |
+
```
|
| 206 |
+
1. Download the .safetensors file
|
| 207 |
+
2. Place in: ComfyUI/models/loras/
|
| 208 |
+
3. Use the trigger word "matchingpose9b" at the start of your positive prompt
|
| 209 |
+
4. Provide the mannequin pose image as the reference input
|
| 210 |
+
```
|
| 211 |
+
|
| 212 |
+
### Diffusers (Python)
|
| 213 |
+
|
| 214 |
+
```python
|
| 215 |
+
from diffusers import Flux2Pipeline
|
| 216 |
+
import torch
|
| 217 |
+
|
| 218 |
+
pipe = Flux2Pipeline.from_pretrained(
|
| 219 |
+
"black-forest-labs/FLUX.2-klein-base-9B",
|
| 220 |
+
torch_dtype=torch.bfloat16
|
| 221 |
+
).to("cuda")
|
| 222 |
+
|
| 223 |
+
pipe.load_lora_weights(
|
| 224 |
+
"nhathoangfoto/Flux.2-Klein-9B-MatchingPose",
|
| 225 |
+
adapter_name="matchingpose"
|
| 226 |
+
)
|
| 227 |
+
pipe.set_adapters(["matchingpose"], adapter_weights=[1.0])
|
| 228 |
+
|
| 229 |
+
image = pipe(
|
| 230 |
+
prompt="matchingpose9b, a young woman with long black hair, wearing casual clothes, studio lighting",
|
| 231 |
+
num_inference_steps=28,
|
| 232 |
+
guidance_scale=3.5,
|
| 233 |
+
).images[0]
|
| 234 |
+
```
|
| 235 |
+
|
| 236 |
+
---
|
| 237 |
+
|
| 238 |
+
## ⚠️ Limitations
|
| 239 |
+
|
| 240 |
+
- **Requires mannequin reference**: works best when paired with clean mannequin pose input. Real photos as pose reference may leak identity features into the output.
|
| 241 |
+
- **Extreme poses**: acrobatic or heavily contorted poses reduce transfer accuracy.
|
| 242 |
+
- **Face/hand detail**: faces and hands may need secondary fix passes at high resolution.
|
| 243 |
+
- **Multi-subject scenes**: trained primarily on single-subject images. Multi-person inputs may produce inconsistent pose matching.
|
| 244 |
+
- **Body proportion mismatch**: if the character description implies a significantly different body type than the mannequin (e.g., child character + adult mannequin), proportions may normalize toward the mannequin.
|
| 245 |
+
|
| 246 |
+
---
|
| 247 |
+
|
| 248 |
+
## 📄 License
|
| 249 |
+
|
| 250 |
+
Released under **Apache 2.0**. You are free to use this LoRA for personal, research, and commercial purposes.
|
| 251 |
+
|
| 252 |
+
The base model (FLUX.2 Klein Base 9B) has its own license — please review the [FLUX.2 Klein Base 9B license terms](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B) for base-model usage conditions.
|
| 253 |
+
|
| 254 |
+
---
|
| 255 |
+
|
| 256 |
+
## 🙏 Credits
|
| 257 |
+
|
| 258 |
+
- **Base Model**: [FLUX.2 Klein Base 9B](https://huggingface.co/black-forest-labs/FLUX.2-klein-base-9B) by Black Forest Labs
|
| 259 |
+
- **Training Framework**: [ai-toolkit](https://github.com/ostris/ai-toolkit) by [Ostris](https://ostris.com)
|
| 260 |
+
- **Author**: [nhathoangfoto](https://huggingface.co/nhathoangfoto) — JH AI Studio
|
| 261 |
+
- **Companion LoRA**: [Flux.2-Klein-9B-Mannequin](https://huggingface.co/nhathoangfoto/Flux.2-Klein-9B-Mannequin)
|
| 262 |
+
|
| 263 |
+
---
|
| 264 |
+
|
| 265 |
+
<div align="center">
|
| 266 |
+
|
| 267 |
+
## ☕ Enjoying this LoRA?
|
| 268 |
+
|
| 269 |
+
Your support keeps new models coming. Even a small tip makes a real difference for independent open-source AI work.
|
| 270 |
+
|
| 271 |
+
### [**💖 Donate via PayPal**](https://paypal.me/nhathoangfoto)
|
| 272 |
+
|
| 273 |
+
[](https://paypal.me/nhathoangfoto)
|
| 274 |
+
|
| 275 |
+
*Thank you for supporting independent AI research! 🙏*
|
| 276 |
+
|
| 277 |
+
---
|
| 278 |
+
|
| 279 |
+
**If you find this LoRA useful, please ❤️ like the model and share your creations in the Community tab!**
|
| 280 |
+
|
| 281 |
+
</div>
|
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examples/Example Workflow.png
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|
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|