Instructions to use freshcodes/cat_in_space with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use freshcodes/cat_in_space with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("freshcodes/cat_in_space") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update model_index.json
Browse files- model_index.json +5 -22
model_index.json
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"_diffusers_version": "0.35.1",
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"force_zeros_for_empty_prompt": true,
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"scheduler": [
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"diffusers",
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"EulerDiscreteScheduler"
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],
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"text_encoder": [
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"CLIPTextModel"
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"tokenizer": "tokenizer",
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"tokenizer_2": "tokenizer_2",
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"unet": [
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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"_diffusers_version": "0.35.1",
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"force_zeros_for_empty_prompt": true,
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"scheduler": ["diffusers", "EulerDiscreteScheduler"],
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"text_encoder": ["transformers", "CLIPTextModel"],
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"text_encoder_2": ["transformers", "CLIPTextModelWithProjection"],
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"tokenizer": "tokenizer",
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"tokenizer_2": "tokenizer_2",
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"unet": ["diffusers", "UNet2DConditionModel"],
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"vae": ["diffusers", "AutoencoderKL"]
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}
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