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- README.md +73 -0
- checkpoint-1000/pytorch_lora_weights.bin +3 -0
- checkpoint-1100/pytorch_lora_weights.bin +3 -0
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- checkpoint-1300/pytorch_lora_weights.bin +3 -0
- checkpoint-1400/pytorch_lora_weights.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.bin +3 -0
- checkpoint-1600/pytorch_lora_weights.bin +3 -0
- checkpoint-1700/pytorch_lora_weights.bin +3 -0
- checkpoint-1800/pytorch_lora_weights.bin +3 -0
- checkpoint-1900/pytorch_lora_weights.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.bin +3 -0
- imgs/img_abarrendesertplanetcoatedinfinerusty-redsandpockmarkedwithdeepdarkcratersandcloakedinathinhazyatmosphere_ckpt2000_gs10.0_seed0.png +3 -0
- imgs/img_asmallicymoonencasedinashellofpurewhiteiceanddustcoveredwithintricatepatternsoffrostyfissures_ckpt2000_gs10.0_seed0.png +3 -0
- imgs/img_aturquoise-huedgasgiantstreakedwithswirlingwhitewispsofhigh-altitudecloudswrappedinathinmulticoloredringsystem_ckpt1300_gs20.0_seed100.png +3 -0
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.gitignore
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README.md
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---
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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dataset: sshh12/planet-textures
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-diffusers
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- text-to-image
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- diffusers
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- lora
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- planets
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- space
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- procedural-generation
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inference: false
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---
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the sshh12/planet-textures dataset.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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| Prompt | Image |
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| ----------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| A turquoise-hued gas giant, streaked with swirling white wisps of high-altitude clouds, wrapped in a thin, multicolored ring system | ![img_1](./imgs/img_aturquoise-huedgasgiantstreakedwithswirlingwhitewispsofhigh-altitudecloudswrappedinathinmulticoloredringsystem_ckpt1300_gs20.0_seed100.png) |
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| A barren desert planet, coated in fine rusty-red sand, pockmarked with deep, dark craters, and cloaked in a thin, hazy atmosphere | ![img_2](./imgs/img_abarrendesertplanetcoatedinfinerusty-redsandpockmarkedwithdeepdarkcratersandcloakedinathinhazyatmosphere_ckpt2000_gs10.0_seed0.png) |
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| A small, icy moon, encased in a shell of pure white ice and dust, covered with intricate patterns of frosty fissures | ![img_3](./imgs/img_asmallicymoonencasedinashellofpurewhiteiceanddustcoveredwithintricatepatternsoffrostyfissures_ckpt2000_gs10.0_seed0.png) |
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## 🧨 Diffusers Usage
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```py
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import torch
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from diffusers import DiffusionPipeline, AutoencoderKL
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", vae=vae, torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
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pipe.load_lora_weights("sshh12/sdxl-lora-planet-textures")
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pipe.to("cuda")
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prompt = "A dwarf planet exhibiting a striking purple color, with a surface peppered with craters and towering ice formations"
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negative_prompt = 'blurry, fuzzy, low resolution, cartoon, painting'
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image = pipe(prompt=prompt, negative_prompt=negative_prompt, width=1024, height=512).images[0]
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image
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```
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## Training
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GitHub: https://github.com/sshh12/planet-diffusion
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```py
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MODEL_NAME="stabilityai/stable-diffusion-xl-base-1.0"
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DATASET_NAME="sshh12/planet-textures"
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!accelerate launch v2/train_text_to_image_lora_sdxl.py \
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--pretrained_model_name_or_path="$MODEL_NAME" \
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--pretrained_vae_model_name_or_path="madebyollin/sdxl-vae-fp16-fix" \
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--dataset_name="$DATASET_NAME" \
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--caption_column="text" \
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--width=1024 \
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--height=512 \
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--random_hflip \
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--random_vflip \
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--mixed_precision="fp16" \
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--use_8bit_adam \
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--train_batch_size=1 \
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--gradient_accumulation_steps=2 \
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--num_train_epochs=500 \
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--checkpointing_steps=100 \
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--learning_rate=1e-05 \
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--lr_scheduler="constant" \
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--lr_warmup_steps=0 \
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--seed=0 \
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--validation_epochs=5 \
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--validation_prompt_file="v2/validation_prompts.txt" \
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--enable_xformers_memory_efficient_attention \
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--report_to="wandb"
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```
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