Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
diffusers-training
Instructions to use MohamedAcadys/PointConImageModelV1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MohamedAcadys/PointConImageModelV1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MohamedAcadys/PointConImageModelV1-4", 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
Download checkpoint-500/optimizer.bin from MohamedAcadys/PointConImageModelV1-4: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/MohamedAcadys/PointConImageModelV1-4/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://MohamedAcadys/PointConImageModelV1-4/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/MohamedAcadys/PointConImageModelV1-4/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 407e642a371f7fcb7744ca8eb81f1ee794f0f67b7747f5fcb2515747da00b031
- Size of remote file:
- 6.88 GB
- SHA256:
- df30f8334df86d9dcbe553e16e13a17acf11c3868530089e4b443d34268d749a
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