Instructions to use sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128", 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
Download checkpoint-5500/scheduler.bin from sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/resolve/main/checkpoint-5500/scheduler.bin
- Command line
-
hf download hf://sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/checkpoint-5500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/sergiocannata/diffuser_generated_mam_CBIS_malignant_128x128/resolve/main/checkpoint-5500/scheduler.bin
563 Bytes
- Xet hash:
- 2943946122af54049eb6c3e88658ff387ab171b4c369a0803eb9189a233fb6cf
- Size of remote file:
- 563 Bytes
- SHA256:
- 7bd5c08d53e944a3e6a3dc9196ed255b6ff4872a5d0190e4108aa86bf629fec0
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