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README (1).md

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+
+---
+license: creativeml-openrail-m
+base_model: runwayml/stable-diffusion-v1-5
+datasets:
+- iamkaikai/amazing_logos_v3
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+inference: true
+---
+    
+# Text-to-image finetuning - iamkaikai/amazing-logos
+
+This pipeline was finetuned from **runwayml/stable-diffusion-v1-5** on the **iamkaikai/amazing_logos_v3** dataset.  
+Latest Update: Our v2 model is now equipped to support colored logos.  
+
+## Training info
+
+These are the key hyperparameters used during training:
+
+* Dataset size: 110k
+* Epochs: 16
+* Learning rate: 5e-07
+* Batch size: 16
+* Gradient accumulation steps: 1
+* Image resolution: 512
+* Mixed-precision: fp16
+
+
+
+![preview](./grid.jpg)
+
+
+## Prompt Format
+The prompt format is as follows:
+
+```javascript
+{template keywords} + [company name] + [concept & country] + [industry] + {template keywords}
+```
+
+## For example:
+
+Colored logo
+```text
+Simple elegant logo for Google, G circle United states, technology, successful vibe, minimalist, thought-provoking, abstract, recognizable
+```
+monochrome logo (include "black and white")
+```text
+Simple elegant logo for Google, G circle United states, technology, successful vibe, minimalist, thought-provoking, abstract, recognizable, black and white
+```
+
+Here are some examples of prompts:
+
+- Simple elegant logo for Digital Art, **D A square**, **education**, successful vibe, minimalist, thought-provoking, abstract, recognizable
+- Simple elegant logo for 3M Technology, **3 M square United states**, **technology and product**, successful vibe, minimalist, thought-provoking, abstract, recognizable
+- Simple elegant logo for 42Studio, **lines drop fire flame water**, **design studio**, successful vibe, minimalist, thought provoking, abstract, recognizable, relatable, sharp, vector art, even edges
+
+
+## The [concept & country] section can include words such as:
+- lines
+- circles
+- triangles
+- dot
+- crosses
+- waves
+- square
+- letters (A-Z)
+- 3D
+- Angled
+- Arrows
+- cube
+- Diamond
+- Hexagon
+- Loops
+- outline
+- ovals
+- rectangle
+- reflection
+- rings
+- round
+- semicircle
+- spiral
+- woven
+- stars
+
+I invest in cloud GPU rentals to train my models. If you value what I do, consider buying me a coffee ☕️. Your support means a lot! https://www.buymeacoffee.com/iamkaikai666

amazing-logos-v2-batch-16.ckpt

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model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.20.0.dev0",
+  "_name_or_path": "runwayml/stable-diffusion-v1-5",
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

scheduler/scheduler_scheduler_config.json

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+{
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.20.0.dev0",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null
+}