# Glitch-Img-1.0: RGBA Image Generation & Editing with Qwen-Image-2.1

> Source: <https://dev.to/islam_alnashera_19f64a4e/glitch-img-10-rgba-image-generation-editing-with-qwen-image-21-1075>
> Published: 2026-10-31 13:39:27+00:00

**Try it:** [huggingface.co/ISLAM-PO/Glitch-Img-1.0](https://huggingface.co/ISLAM-PO/Glitch-Img-1.0) · [image-gen demo Space](https://huggingface.co/spaces/ISLAM-PO/image-gen-demo)

Image generation has moved past "pretty pictures" toward **controllable, editable, transparent assets**. **Glitch-Img-1.0** is my re-upload of `Qwen/Qwen-Image-2.1` under the name `ISLAM-PO/Glitch-Img-1.0`, aimed at making a strong unified text-to-image + editing model easy to discover and use from a single, well-documented repository. All weights and configs are unchanged from the original; only the README and repo IDs were updated, and the model is **Built with Qwen** under the Qwen Research License (non-commercial).

This report covers what the model does, its key capabilities, a quick-start, memory tips, and licensing notes.

`Qwen/Qwen-Image-2.1`
`text-to-image` (diffusers: `QwenImage21Pipeline`)
Four headline improvements define the Qwen-Image-2.1 family this build inherits:

| Capability | Details | 
|---|---|
| Text-to-image | Prompts up to 2048×2048 and beyond; strong text rendering | 
| Image editing | Inpainting-style edits, background swaps, style transfer | 
| RGBA transparency | Native alpha channel generation with a documented prompt format | 
| Multi-reference | Up to 10 reference images for identity/subject consistency | 
| Local edits | Circles, painted annotations, separate masks | 
| Aspect ratios | 1:1, 4:3, 3:4, 3:2, 2:3, 16:9, 9:16 presets | 

**Install:**

```
pip install torch>=2.4.0
pip install transformers>=5.17
pip install git+https://github.com/huggingface/diffusers
pip install accelerate pillow
```

**Text-to-image:**

``` python
import torch
from diffusers import QwenImage21Pipeline

pipe = QwenImage21Pipeline.from_pretrained(
    "ISLAM-PO/Glitch-Img-1.0", torch_dtype=torch.bfloat16
).to("cuda")

image = pipe(
    prompt='A neon shop sign that reads "GLITCH IMG 1.0", rainy night, reflections on wet pavement',
    width=2048, height=2048,
    num_inference_steps=40,
    generator=torch.Generator("cuda").manual_seed(42),
).images[0]

image.save("t2i_example.png")
```

**Image editing:**

``` python
import torch
from PIL import Image
from diffusers import QwenImage21Pipeline

pipe = QwenImage21Pipeline.from_pretrained(
    "ISLAM-PO/Glitch-Img-1.0", torch_dtype=torch.bfloat16
).to("cuda")

input_image = Image.open("input.png")
image = pipe(
    prompt="Change the background to a sunset beach",
    image=input_image,
    num_inference_steps=40,
    generator=torch.Generator("cuda").manual_seed(42),
).images[0]
image.save("edit_example.png")
```

**Transparent (RGBA) generation** — use the recommended prompt format:

```
image = pipe(
    prompt="This is an RGBA image with transparency. A cute cartoon dragon sticker. "
           "The image has alpha channel and the background is transparent.",
    width=2048, height=2048,
    num_inference_steps=40,
    generator=torch.Generator("cuda").manual_seed(42),
).images[0]
image.save("transparent_example.png")
```

**Aspect ratios:**

```
aspect_ratios = {
    "1:1":  (2048, 2048), "4:3":  (2400, 1792), "3:4":  (1792, 2400),
    "3:2":  (2528, 1696), "2:3":  (1696, 2528), "16:9": (2752, 1536),
    "9:16": (1536, 2752),
}
pipe = QwenImage21Pipeline.from_pretrained(
    "ISLAM-PO/Glitch-Img-1.0", torch_dtype=torch.bfloat16
)
pipe.enable_model_cpu_offload()
```

This offloads model parts to CPU between steps, letting you run on smaller GPUs at the cost of speed.

I use Glitch-Img as the **visual layer** behind my portfolio and product work:

It complements **MasryGPT** (text) as the two halves of an Arabic-first AI product stack: one generates the words, the other the visuals.

`model-business@notice.qwencloud.com`.` NOTICE` and `LICENSE` in the repo for required attribution.
*Author: Islam Al-Nashar — Full-Stack Developer & AI builder. [GitHub](https://github.com/aslamalkarywk7) · [Hugging Face](https://huggingface.co/ISLAM-PO) · [Portfolio](https://aslamalkarywk7.github.io/aslamalkarywk7/)*