--- license: other base_model: "stabilityai/stable-diffusion-3.5-medium" tags: - sd3 - sd3-diffusers - text-to-image - image-to-image - diffusers - simpletuner - safe-for-work - full pipeline_tag: text-to-image inference: true widget: - text: 'unconditional (blank prompt)' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_0_0.png - text: 'minecraft skin, police officer with dark blue uniform: crisp button‐up shirt tucked into matching pants; sturdy black boots covering lower legs; black tactical gloves on hands; silver badge on left chest; face with focused expression, blue eyes under a peaked cap; short brown hair peeking at nape; utility belt with radio pouches around waist' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_1_0.png - text: 'minecraft skin, fantasy dragon‐scale armor in deep red and gold: overlapping scale plates on chest and shoulders; gauntleted gloves with claw tips on hands; armored greaves on legs; sturdy boots with scale fins; face framed by horned helm opening to reveal green reptilian eyes; dark flowing hair braided into a tail at back' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_2_0.png - text: 'minecraft skin, cyberpunk streetwear: black bio‐leather jacket with neon blue circuit patterns, high‐collar around neck; fingerless gloves on hands; slim cargo pants with glowing seams and knee pads; tech‐bonded boots; face with glowing augmented ocular implants and angular cheek tattoos; buzzed undercut hair in electric purple' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_3_0.png - text: 'minecraft skin, samurai warrior in red and black lacquered armor: layered cuirass over kimono sleeves; wrapped hand‐guards on forearms; hakama trousers tying at calf; straw‐soled sandals on feet; face calm with golden eyes beneath a half‐mask; jet‐black topknot hairstyle' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_4_0.png - text: 'minecraft skin, elven forest scout: green hooded cloak draping over slender shoulders; leather bracers on forearms; fitted tunic and leggings dyed in moss and bark tones; soft boots for silent steps; delicate hands with finger‐woven gloves; face with sharp emerald eyes and freckled cheeks; long auburn hair braided with leaf ornaments' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_5_0.png - text: 'minecraft skin, steampunk mechanic: worn brown leather apron over soot‐stained shirt; fingerless leather gloves with metal knuckle plates on hands; reinforced trousers with tool pockets; heavy leather boots with brass buckles; face smudged with oil, bright hazel eyes behind round goggles; tousled sandy hair' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_6_0.png - text: 'minecraft skin, high‐tech spacesuit: white and blue pressurized suit with panel lines on torso; glove‐sealed sleeves and articulated gauntlets on hands; reinforced leggings with cable conduits to boots; helmet viewport revealing calm face with hazel eyes and chin strap; short dark hair neatly cut' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_7_0.png - text: 'minecraft skin, desert robes: flowing sand‐colored tunic over loose pants; wrapped cloth around forearms and calves; sand‐proof gauntlets on hands; leather sandals on feet; face partially veiled with brown scarf exposing only bright amber eyes; sun‐bleached blonde hair tied back' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_8_0.png - text: 'minecraft skin, shining plate armor: breastplate embossed with crest over padded gambeson; articulated gauntlets on hands; greaves and sabatons covering legs and feet; face visible through open helm, with steely gray eyes and a cropped brown beard; short cropped hair' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_9_0.png - text: 'minecraft skin, arcane mage robes: deep violet robe embroidered with glowing runes on torso and sleeves; delicate fingerless silk gloves on hands; flowing skirt over fitted leggings; soft pointed boots; face with luminous violet eyes and pale skin; long silver hair cascading over shoulders' parameters: negative_prompt: 'blurry, cropped, ugly' output: url: ./assets/image_10_0.png --- # simpletunner-full-novaskin This is a full rank finetune derived from [stabilityai/stable-diffusion-3.5-medium](https://huggingface.co/stabilityai/stable-diffusion-3.5-medium). No validation prompt was used during training. None ## Validation settings - CFG: `5.0` - CFG Rescale: `0.0` - Steps: `20` - Sampler: `FlowMatchEulerDiscreteScheduler` - Seed: `42` - Resolution: `64x64` - Skip-layer guidance: Note: The validation settings are not necessarily the same as the [training settings](#training-settings). You can find some example images in the following gallery: The text encoder **was not** trained. You may reuse the base model text encoder for inference. ## Training settings - Training epochs: 5 - Training steps: 60260 - Learning rate: 1e-06 - Learning rate schedule: cosine - Warmup steps: 200 - Max grad value: 1.0 - Effective batch size: 12 - Micro-batch size: 12 - Gradient accumulation steps: 1 - Number of GPUs: 1 - Gradient checkpointing: False - Prediction type: flow_matching (extra parameters=['shift=3']) - Optimizer: adamw_bf16 - Trainable parameter precision: Pure BF16 - Base model precision: `no_change` - Caption dropout probability: 0.1% ## Datasets ### skins-64 - Repeats: 0 - Total number of images: 100000 - Total number of aspect buckets: 1 - Resolution: 0.004096 megapixels - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ### skins-256 - Repeats: 1 - Total number of images: 20000 - Total number of aspect buckets: 1 - Resolution: 256 px - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ### skins-heads - Repeats: 3 - Total number of images: 5000 - Total number of aspect buckets: 1 - Resolution: 256 px - Cropped: False - Crop style: None - Crop aspect: None - Used for regularisation data: No ## Inference ```python import torch from diffusers import DiffusionPipeline model_id = 'saviski/simpletunner-full-novaskin' pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16) # loading directly in bf16 prompt = "An astronaut is riding a horse through the jungles of Thailand." negative_prompt = 'blurry, cropped, ugly' pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu') # the pipeline is already in its target precision level model_output = pipeline( prompt=prompt, negative_prompt=negative_prompt, num_inference_steps=20, generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(42), width=64, height=64, guidance_scale=5.0, ).images[0] model_output.save("output.png", format="PNG") ``` ## Exponential Moving Average (EMA) SimpleTuner generates a safetensors variant of the EMA weights and a pt file. The safetensors file is intended to be used for inference, and the pt file is for continuing finetuning. The EMA model may provide a more well-rounded result, but typically will feel undertrained compared to the full model as it is a running decayed average of the model weights.