Text-to-Image
Diffusers
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StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use Norod78/sd-simpsons-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Norod78/sd-simpsons-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Norod78/sd-simpsons-model", 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
Commit ·
bf8de3d
1
Parent(s): 2a80059
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#1)
Browse files- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (97eb7566ad89b3eaa38d45172a6de6ed70cdc466)
Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>
scheduler/scheduler_config.json
CHANGED
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@@ -4,6 +4,7 @@
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"num_train_timesteps": 1000,
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"num_train_timesteps": 1000,
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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