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README.md

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+---
+license: cc0-1.0
+tags:
+- text-to-image
+- stable-diffusion
+- lora
+- diffusers
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+instance_prompt: Mickey
+widget:
+- text: "drawing of Mickey, theater in background"
+  output:
+    url: "mickey_theater.jpg"
+- text: "drawing of Mickey inspiring the communist revolution"
+  output:
+    url: "communist_mickey.jpg"
+- text: "pop-art painting of Mickey walking in Paris"
+  output:
+    url: "mickey_paris.jpg"
+pipeline_tag: text-to-image
+datasets:
+- chaphi/mickey1928extra
+---
+
+**Mickey-1928** is fine-tuned version of Stable-Diffusion-xl trained on 96 stills in the public domain from 1928.
+
+<Gallery />
+
+Mickey-1928 can generate images of Mickey, Minnie and, to a much lesser extent, Pete (with the prompt PeteLegPete).
+
+## Dataset
+
+Since 2024, the first three cartoons of Mickey are in the public domain. The final dataset includes:
+- 40 stills from *Gallopin' Gaucho* (in color)
+- 22 stills from *Plane Crazy*
+- 34 stills from *Steamboat Willie*.
+
+The stills are not currently available in high quality and you should not expect consistently good results from Mickey-1928. The color images from *Gallopin' Gaucho* are in 360x360 pixels. Hopefully with the cartoons now being part of the public domain, higher definition versions should be available.
+
+The generated images aim to adhere to the 1928 design in order to have Mickey, Minnie and Pete in the public domain. This is still a work in progress: while the model is in development, generated images should be checked to ensure they really are in the public domain design.

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.19.0.dev0",
+  "force_zeros_for_empty_prompt": true,
+  "add_watermarker": null,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}