Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use gremlin97/RemoteDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gremlin97/RemoteDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gremlin97/RemoteDiff", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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README.md
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These are the key hyperparameters used during training:
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* Epochs:
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* Learning rate: 1e-06
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* Batch size:
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* Gradient accumulation steps: 4
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* Image resolution: 224
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* Mixed-precision: fp16
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These are the key hyperparameters used during training:
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* Epochs: 5
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* Learning rate: 1e-06
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* Batch size: 4
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* Gradient accumulation steps: 4
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* Image resolution: 224
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* Mixed-precision: fp16
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