
new test model v 1.1 - try it, it is mainly for testing purposes. Let me know in the comments what you think, I can tune it more in case of problems
MAGIFACTORY model is trained to generate t-shirt logos based on text input. The model takes in a text description of the desired t-shirt logo and generates a corresponding image. It is trained on a dataset of t-shirt logos with resolution 512x512px. Ideally use hires-fix rescale to 896x896 ( for not having repeated artifacts ) in automatic1111 WebUI with "Latents antialiased" and finally upscale 4x with SwinIR_4x. Euler a
scheduler preferred. You can also try DPM++ 2S a Karras
scheduler. I am running Instagram with top designs, so you can download and use them.
prompts:
cyberpunk astronaut flying in space (on a black background:1.4) as a t-shirt logo in the style of <MAGIFACTORY> art
a symbol of a car (on a black background:1.2) as t-shirt logo in the style of <MAGIFACTORY> art
negative prompt:
badly drawn, noisy, noise, blurred, ugly, cropped, out of frame, (double:1.4), (repeated:1.4), (repeating:1.4), signature, text, font, watermark
描述:
训练词语: as a t-shirt logo in the style of art
名称: MAGIFACTORYTShirt_magifactoryTShirt.ckpt
大小 (KB): 4001973
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: **Detected Pickle imports (5)**
```
torch.FloatStorage
torch.BFloat16Storage
collections.OrderedDict
torch.LongStorage
torch._utils._rebuild_tensor_v2
```
病毒扫描结果: Success
名称: MAGIFACTORYTShirt_magifactoryTShirt.safetensors
大小 (KB): 4001747
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
名称: MAGIFACTORYTShirt_magifactoryTShirt_trainingData.zip
大小 (KB): 24514
类型: Training Data
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success