Instructions to use Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Anibaaal/Flux-Fusion-DS-merge-gguf-nf4-fp4-fp8-fp16", 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
Added GGUF Q4, Q5, Q8 variants
Browse files- .gitattributes +3 -0
- GGUF/FusionDS_v0_Q4.gguf +3 -0
- GGUF/FusionDS_v0_Q5.gguf +3 -0
- GGUF/FusionDS_v0_Q8.gguf +3 -0
.gitattributes
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@@ -42,3 +42,6 @@ FluxFusionDS_Samples/6-fp16.png filter=lfs diff=lfs merge=lfs -text
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FluxFusionDS_Samples/6-fp8-e4m3fn.png filter=lfs diff=lfs merge=lfs -text
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FluxFusionDS_Samples/6-fp8-e5m2.png filter=lfs diff=lfs merge=lfs -text
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FluxFusionDS_Samples/fp8-fp16-comparison.png filter=lfs diff=lfs merge=lfs -text
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FluxFusionDS_Samples/6-fp8-e4m3fn.png filter=lfs diff=lfs merge=lfs -text
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FluxFusionDS_Samples/6-fp8-e5m2.png filter=lfs diff=lfs merge=lfs -text
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FluxFusionDS_Samples/fp8-fp16-comparison.png filter=lfs diff=lfs merge=lfs -text
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GGUF/FusionDS_v0_Q4.gguf filter=lfs diff=lfs merge=lfs -text
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GGUF/FusionDS_v0_Q5.gguf filter=lfs diff=lfs merge=lfs -text
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GGUF/FusionDS_v0_Q8.gguf filter=lfs diff=lfs merge=lfs -text
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GGUF/FusionDS_v0_Q4.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c2a94f70d2a207ccd7bd19e28f1f63a0fbcb673cf3f6335dd2284cdb7cb3839
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size 6776882912
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GGUF/FusionDS_v0_Q5.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:416ccff34e3e19e14ff4c59f7cad5747ceeeab39e4b66f6c6156f4a5d54a160e
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size 8256161504
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GGUF/FusionDS_v0_Q8.gguf
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version https://git-lfs.github.com/spec/v1
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oid sha256:5aa0327cc6ed1576701594d34a7a7c60056f7503338da2eb5c6330a18533613e
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size 12693997280
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