Text-to-Image
Diffusers
diffusers-training
lora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use Retoe/stable8k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Retoe/stable8k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Retoe/stable8k") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse files- checkpoint-130/optimizer.bin +3 -0
- checkpoint-130/pytorch_lora_weights.safetensors +3 -0
- checkpoint-130/random_states_0.pkl +3 -0
- checkpoint-130/scaler.pt +3 -0
- checkpoint-130/scheduler.bin +3 -0
- checkpoint-132/optimizer.bin +3 -0
- checkpoint-132/pytorch_lora_weights.safetensors +3 -0
- checkpoint-132/random_states_0.pkl +3 -0
- checkpoint-132/scaler.pt +3 -0
- checkpoint-132/scheduler.bin +3 -0
- image_0.png +2 -2
- image_1.png +2 -2
- image_2.png +2 -2
- image_3.png +2 -2
- pytorch_lora_weights.safetensors +1 -1
checkpoint-130/optimizer.bin
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checkpoint-130/pytorch_lora_weights.safetensors
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checkpoint-130/scaler.pt
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checkpoint-130/scheduler.bin
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checkpoint-132/pytorch_lora_weights.safetensors
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checkpoint-132/random_states_0.pkl
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checkpoint-132/scaler.pt
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pytorch_lora_weights.safetensors
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