Instructions to use ProGamerGov/Min-Illust-Background-Diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ProGamerGov/Min-Illust-Background-Diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ProGamerGov/Min-Illust-Background-Diffusion", 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 Settings
- Draw Things
- DiffusionBee
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Parent(s): f71d652
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README.md
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@@ -8,6 +8,8 @@ This fine-tuned Stable Diffusion v1.5 model was trained for 2250 iterations with
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Use the tokens **sjh style** in your prompts for the effect. Note that the effect also appears to occur at a much weaker strength on prompts that steer the output towards specific artistic styles.
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<div align="center">
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<img src="https://huggingface.co/ProGamerGov/Min-Illust-Background-Diffusion/resolve/main/v1_image_size_512x768_t3x4.png">
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Use the tokens **sjh style** in your prompts for the effect. Note that the effect also appears to occur at a much weaker strength on prompts that steer the output towards specific artistic styles.
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This model will likely not perform well on generating portraits and related tasks, as the training data was primarily composed of landscapes.
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<div align="center">
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<img src="https://huggingface.co/ProGamerGov/Min-Illust-Background-Diffusion/resolve/main/v1_image_size_512x768_t3x4.png">
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